Python AI/ML Engineer with Django REST

Trupti Rajendra Gangurde

Python AI/ML Engineer – Xoriant Solution - https://www.xoriant.com

Cell: +918********* Email: ****************@*****.*** Cee

To

Hailey Clark

Kramer-Correia Construction

123 Avenue A Metropolis, ST 54321

Dear Hailey Clark,

I am excited to apply for the office manager position at Kramer-Correia Construction. Although I do not have direct experience in the construction industry, I believe my skills in office management, organization, and communication will be highly valuable to your team. My experience in managing office operations, coordinating schedules, and overseeing administrative tasks will help ensure that your projects run smoothly and efficiently. Additionally, my ability to work well under pressure and to multitask effectively will enable me to handle the demands of a fast-paced construction environment.

Thank you for considering my application. I look forward to Discussing my qualifications with you further. Sincerely,

Chanchal Sharma

January 13, 20XX

CAREER OBJECTIVE

To employ myself in a progressive organization that provides scope to update my practical knowledge and skills in accordance with the latest trends and be part of the team that dynamically works towards growth of the organization. Looking for a software Python Developer Job where I can utilize my Programming skills to Develop Data Science /Machine Learning / Web Application (Django Rest Framework components/System .To achieve a challenging position as a Python Programmer in a result-oriented company, where acquired skills and education will be utilized towards continuous growth and advancement.

EXPERIENCE

STRONG AREAS:

Python Machine Learning Deep Learning Django Web service-REST Fast API Gen AI Pyspark Automation Big Data analytics Data warehouse Business Intelligence SQL Unix Data Analytics –ETL Devops Agile

Major Tools, Associated Technologies & Environment

Unstructured Database Used – Mongo DB

UI Application Programming Language - HTML, CSS, JavaScript, JQuery and Bootstrap.

Web Scraping Library : Beautiful Soup 4

Web Framework involvement : Django REST

BI Tool used - Tableau

Parsing XML - xml Schema

Currently working with client Elisa Telecom, Finland as ML Engineer for Dynamic Optimization - – ml implementation on Telecom BSS Analytics

Technical Qualification Headlines

Deep Learning Python Data Science Big Data Machine Learning Django REST Mongo DB PySpark ETL / Data warehousing Business Intelligence Unix

Associated Technology : AWS, Docker, Power BI, ETL(Data Migration), Linux, IoT, Android Work Experience with clients : Bigcommerce,USA Revolut, United Kingdom Proximus Telecom, Belgium System/Vertical Worked with : Payment analytics Telecom OSS –Provisioning and Activation E-commerce Experience with Core Data Science/ML Libraries /Packages : PySpark Pandas Numpy Seaborn Matplotlib Scikit Learn Keras Tensorflow Scipy Statsmodels Plotly Experience with Core Django REST Libraries /Packages: Django-rest-framework Django-cors-headers Django-debug-toolbar Django-extensions Sentry-sdk Django-allauth

Django-filter Django-import-export

Experience with Machine Learning Algorithm

Linear Regression Logistic Regression KNN K-Means Naïve Bayes Mean, Median, Mode Decision Tree Random Forest Support Vector Machine Principal Component Analysis NLP XG Boost Process worked with : DevOps + Agile + V- Model

Software Programming Language Experience:

Python Java Script CSS HTML Boot Strap J Query SQL Business Implementation Programming Experience:

Machine learning – Python ETL – Python Business Intelligence Bigdata -Pyspark Professional Work Experience

Data Science / ETL/ ML & Django Rest and Fast API Task as a Full-Stack Developer: Web Development Django REST Task:

Good experience in developing Web Applications implementing Model-View-Control Architecture using Django REST Application Framework.

Strong expertise in development of Web-Based Applications using Python, HTML, XML, KML, CSS, DHTML, JavaScript, JSON and JQuery.

Experience in working with Python ORM Libraries including Django ORM, SQLAlchemy.

Good knowledge of Web Services with protocols SOAP, REST.

Experience in working with continuous deployment using Heroku and Jenkins.

Good experience in working with Amazon Web Services like EC2, Virtual private clouds (VPCs), Storage models

(EBS, S3,instance storage), Elastic Load Balancers (ELBs).

Experience in using various version control systems like Git, and GitHub. Having good knowledge in using NoSQL databases like MongoDB .Proficient in writing SQL Queries.

Experience in working with Python ORM Libraries including Django ORM, SQLAlchemy.

Excellent Interpersonal and communication skills, efficient time management and organization skills, ability to handle multiple tasks and work well in a team environment. Data Science /Machine learning /ETL/BI /Bigdata Task

Highly efficient Data Scientist/Data Analyst with 3+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping.

3+years of Experience in design, development, testing and implementation of various stand - alone and client- server architecture based enterprise application software in Python on different domains

Experience in statistical programming languages with Python including Big Data technologies like Hadoop, Hive and Pyspark.

Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including Data Acquisition, Data Cleaning, Data Engineering, Features Scaling, Features Engineering, Statistical Modeling (Decision Trees, Regression Models, Clustering), Dimensionality Reduction using Principal Component Analysis (PCA) and Factor Analysis, Testing and Validation using ROC plot, K - fold Cross-Validation and Data Visualization.

Experience and deep understanding of Statistical modeling, Multivariate Analysis, Model Testing, Problem Analysis, Model Comparison, and Validation.

Expertise in transforming business requirements into Analytical Models, Designing Algorithms, Building Models, Developing Data Mining and Reporting solutions that scale across a massive volume of structured and unstructured data.

Skilled in performing Data Parsing, Data Manipulation and Data Preparation with methods including describe data contents, compute descriptive Statistics of data, Regex, split and combine, remap, merge, subset, reindex, melt and reshape.

Experience in using various Libraries and Packages in python-like NLP, Pandas, NumPy, Seaborn, SciPy, Matplotlib, Sci-kit-learn,Beautiful Soup, Json, CSV, Highly skilled in using visualization tools like Tableau for creating dashboards.

Extensive experience in Text Analytics, generating data visualizations using Python and creating dashboards using tools like Tableau.

Hands on experience with big data tools like Hadoop, Spark, Hive, Pig, PySpark, Spark SQL.Hands on experience in implementing LDA, Naive Bayes and skilled in Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, neural networks, Principle Component Analysis.

Good Knowledge in Proof of Concepts (PoC's), gap analysis and gathered necessary data for analysis from different sources, prepared data for data exploration using data munging.

Good industry knowledge, analytical & problem-solving skills and ability to work well within a team as well as an individual.

Experience in designing stunning visualizations using Tableau software and publishing and presenting dashboards, Storyline on web and desktop platforms.

Experience and Technical proficiency in Designing, Data Modeling Online Applications, Solution Lead for Architecting Data Warehouse/Business Intelligence Applications.

Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Graphs, Scales, PivotTables and OLAP reporting.

Highly skilled in using Hadoop (pig and Hive) for basic analysis and extraction of data in the infrastructure to provide data summarization.

Worked and extracted data from various database sources like Oracle, SQL Server, DB2, regularly accessing JIRA tool and other internal issue trackers for the Project development.

Highly creative, innovative, committed, intellectually curious, business savvy with good communication and interpersonal skills.

Key Skills:

Frameworks: Django, CSS, Bootstrap.

Web Technologies: HTML, CSS, Java Script, JQuery, J SON, XML.

Programming Languages: Python, HTML, CSS, SQL.

Version Control: Git, GitHub.

Cloud Computing: AWS EC2, S3.

Analytic Tools: PySpark.

Application servers: Apache Tomcat,Nginix, JBoss,WebLogic,WebSphere.

Databases: Oracle 10g, My SQL, MongoDB.

IDEs/ Development Tools: PyCharm, Anaconda – Jupyter Nb, Atom, Spyder, Microsoft Visual Studio.

Operating Systems: Windows, Red hat Linux .

Protocols: TCP/IP, HTTP/HTTPS, SOAP.

Deployment Tools: Heroku, Jenkins.

Issue Trackers: HPALM 12.5.

Web Service : REST –JSON, DRF (Django Rest Framework) Awards Received

Received “Star Performer Award” from Xoriant or good performance.

Received appreciation for E2E Delivery from client -Bigcommerce, USA Education Details:

Masters in computer science

University :- Savitribai Phule Pune University

College :- CMCS college Nashik

WORKING ZONE ORGANIZATION

Worked as a Python ML Engineer with Xoriant Solution - https://www.xoriant.com/ Pune since December 2022 - Present

Projects

Project Sequence 1

Project Name : Intelligent Payment Network -IPN

Vertical : Payments system

Client : Revolut, United Kingdom

Technology & Tool: Python, PySpark, Spark SQL, Plotly, Dash, Postman, Microsoft Azure, Docker, ETL, Machine Learning, Statistical Analysis

Roles: : Python Data Scientist / AI – ML analyst

Detail Project Overview and Workflow:

The traditional methods of forecasting, often riddled with inaccuracies due to human error and the inability to process large data sets effectively, are being replaced by AI-driven models. These models offer a more granular and accurate prediction of future cash flows by analyzing complex patterns in historical data that human analysts might overlook. Generative AI is carving a niche in strategic financial decision-making, offering treasurers and finance professionals a transformative tool for navigating complex economic landscapes.

Technology’s predictive capabilities extend to evaluating risks and exposures, as well as formulating investment strategies. Improving the efficiency of a payment system is important since it has a substantial impact on revenues for businesses. A gateway is an integral component of a payment system through which every transaction is routed. In an online payment system, payment processors integrate with these gateways by means of various configurations such as pricing, methods, risk checks, etc. These configurations are called terminals. Each gateway can have multiple terminals associated with it. Routing a payment transaction through the best terminal is crucial to increase the probability of a payment transaction being successful. Machine learning (ML) and artificial intelligence (AI) techniques can be used to accurately predict the best terminals based on their previous performance and various payment-related attributes. This solution devised a pipeline consisting of static and dynamic modules. The static module does the initial filtering of the terminals using static rules and a logistic regression model that predicts gateway downtimes. Subsequently, the dynamic module computes a lot of novel features based on success rate, payment attributes, time lag, etc. to model the terminal behaviour accurately. These features are updated using an adaptive time decay rate algorithm in real-time using a feedback loop and passed to a random forest classifier to predict the success probabilities for every terminal. This pipeline is currently in production at World pay routing millions of transactions through it in real-time and has given a 4-6% improvement in success rate across all payment methods

(credit card, debit card, UPI, net banking). This has made our payment system more resilient to performance drops, which has improved the user experience, instilled more trust in the merchants, and boosted the revenue of the business. Raw Data from corporate databases is extracted. The data could be spread across multiple systems heterogeneous systems. The data is cleaned and transformed into the data warehouse. The table can be linked, and data cubes are formed. Using BI system the user can ask quires, request ad-hoc reports or conduct any other analysis. Business intelligence is a system of various solutions used to garner insights from different types of data. Driving business decision making is the primary use of business intelligence and is accomplished by utilizing different techniques to understand historical, live, and predictive data. In this bi defined page, we’ll delve deeper into the purpose of BI and specifically, it’s relation to an important element of BI, business intelligence reporting. Businesses are able to source data from external and internal systems, assemble the data for analysis, generate and execute queries against the collected data to create reports and dashboards for decision makers. Visualizations within these reports and dashboards are powerful statistical tools that empower decision makers to action data quicker. Reporting is an early step in the process of data processing. It presents data in an interactive fashion to turn it into actionable information. There can be many levels of interactivity within a report such as the ability to drill down, sort, and filter, as well as additional capabilities such as self-service editing which allows you to further explore your data for more insights. Business intelligence reporting is most beneficial when it is designed to help track and measure your strategic business goals. Other use cases for reporting tools include tracking key performance indicators, maintaining regulatory compliance, or even measuring goals between different departments or applications. Report developers and report writers use tools such as This solution Designer, our report design tool, to distinguish elements such as data sources, display formats, graphics, filters, and other options that are essential for report presentation. Enterprise reporting solutions, such as This solution, also allow end- users to create reports and dashboards directly from web application interfaces using ad-hoc data resources specified by developers. Users are therefore given the ability to generate speedy data-driven decisions through building report components, collecting various data, and designing ad hoc reports. Reports can be published to a reporting engine, such as This solution Server, which extracts data and generates reports. Task Handled:

Implemented Data Exploration to analyze patterns and to select features using Python and SciPy.

Built Factor Analysis and Cluster Analysis models using Python SciPy to classify customers into different target groups.

Implemented Data Exploration to analyze patterns and to select features using Python and SciPy.

Built Factor Analysis and Cluster Analysis models using Python and SciPy to classify customers into different target groups.

Created HBase Tables to store various data formats of data coming from different portfolios.

Provided summary statistics of key performance metrics and other measures deemed significant business units.

Coordinated and managed Data Analytics activities with stakeholders

Performed Multivariate Analysis, Predictive Modelling, Cluster, Market Basket Analysis using sophisticated statistical techniques.

Interpreted & translated analytic output into insights.

Determined the source of the data, coordinate extraction and acquisition.

Worked with brands and business units to ensure that all consumer and behavioral data is stored in a Centralized Enterprise Repository using Amazon Web Services, Redshift and C3.

Assess data quality, identify gaps in the data and eliminate irrelevant data. Project Sequence 2

Project Name : Cisco Data Center Switches

Client : Proximus Telecom, Belgium

Vertical : Telecom OSS Provisioning and Activation –Inventory Management Technology & Tool : Python, Django REST, Oracle,GIT, Rest – Web Service,Pandas, ETL, Statistical Analysis. Role : Python Developer, Python Data Scientist / AI – ML analyst Detail Project Overview and Workflow:

These switches pack high performance and density plus better telemetry into a compact, modular design. Purpose-built low-latency switches to support business-critical applications and performance. Virtualization, high density, and performance—all supporting scalable and efficient growth. Get deep visibility, tighter security, and faster application performance with Cisco silicon. Automate from day 0 to day N with APIs and programmable tools. Efficient power and cooling with real-time energy insights drive sustainable data center operations, helping lower your total cost of ownership. Compact 100M/1G Base-T switch running Cisco NX-OS

If spine and leaf or top of rack are your style, these fixed switches support ports from 1G to 400G to 800G. Enable AI-ready 800G infrastructure for data centers of any size. Built on Cisco silicon, the Cisco Nexus 9000 Series delivers industry-leading data center performance from the inside out.Dial in performance with intelligent buffers and zero packet drop for 50 percent faster application completion time. High bandwidth, small form factor. This compact modular system supports 400G speeds in a 4 RU platform.

Task Handled:

Understand the FRS document and analyze the requirement, specifications and also in client interaction during requirements specifications.

Designed the front end of the application using Python, HTML, CSS, AJAX, JSON and JQuery. Worked on backend of the application, mainly using Active Records.

Involved in analysis and design of the application features, designed and developed communication between client and server using Secured Web services.

Created UI using JavaScript and HTML5/CSS, Developed and tested many features for dashboard using Python, Java, Bootstrap, CSS, JavaScript and JQuery.

Wrote backend programming in Python, used JavaScript and XML to update a portion of a webpage.

Developed consumer based features and applications using Python and Django in Test Driven Development and Pair Based Programming.

Performed Unit testing, Integration Testing, GUI and Web Application testing using Rspec.

Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and JQuery.

Worked on Jenkins continuous integration tool for deployment of project, worked on changes to open stack and AWS to accommodate large-scale data center deployment.

Used advanced packages like Mock, patch and beautiful soup (b4) to perform Unit Testing. Worked on translation of web pages to different languages as per client requirements.

Updated the client admin tool to have the new features like support for internalization, support for customer service etc.

Implemented responsive vector maps and charts on web pages using the data from MongoDB.

Collaborated with Product Management and User Experience experts regarding product definition, schedule, scope and project-related decisions. Also managed, collaborated and coordinated the work of an offshore development team.

Worked on rebranding the existing web pages to clients according to the type of deployment.

Worked on updating the existing clip board to have the new features as per the client requirements. Used many Regular Expressions in order to match the pattern with the existing one.

Skilled in using collections in Python for manipulating and looping through different user defined objects. Worked with team of developers on Python applications for RISK management.

Taken part in entire lifecycle of the projects including design, development, and deployment, testing and implementation and support. Improved code reuse and performance by making effective use of various design patterns

Documented the design solutions and created stories for client requirements. Project Sequence 3

Project Name : SmartCart AI

Vertical : Ecommerce -Intelligence

Client : Bigcommerce -USA

Technology & Tool : Python, PySpark, Spark SQL, Plotly, Dash, Post Man,Microsoft Azure, Docker, ETL, ML,Statistical Analysis

Roles : Web analyst / AI – ML analyst

Detail Project Overview and Workflow:

ML-based recommendation systems are a staple in all major ecommerce platforms and online stores as they drive upselling. These engines can follow two distinct approaches to provide suggestions. Those relying on content-based filtering check a customer's purchase history and recommend other products with characteristics similar to those already bought. Systems using collaborative filtering, on the other hand, will suggest products that have already been ordered and positively rated by other users with similar buying patterns. Task Handled:

Implemented Data Exploration to analyze patterns and to select features using Python and SciPy.

Built Factor Analysis and Cluster Analysis Models using Python and SciPy to classify customers into different Target Groups.

Designed an A/B Experiment for testing the business performance of the new recommendation system.

Supported MapReduce Programs running on the cluster.

Evaluated business requirements and prepared detailed specifications that follow project guidelines required to develop written programs.

Participated in Data Acquisition with Data Engineer team to extract historical and real-time data by using Hadoop- MapReduce and HDFS.

Communicated and presented default customers profiles along with reports using Python and Tableau, analytical results and strategic implications, to senior management for strategic decision making Developed scripts in Python to automate the customer query addressable system using python which decreased the time for solving the query of the customer by 45% .Collaborated with other functional teams across the Risk and Non-Risk Groups to use standard methodologies and ensure a positive customer experience throughout the customer journey.

Performed Data Enrichment jobs to deal missing value, to normalize data, and to select features.

Developed multiple MapReduce jobs in Java for Data Cleaning and Pre-processing, analyzed the partitioned and bucketed data and compute various metrics for reporting.

Extracted data from Twitter using Java and Twitter API. Parsed JSON formatted twitter data and uploaded to database.

Developed Hive queries for analysis, and exported the result set from Hive to MySQL using Sqoop after processing the data.

Created HBase tables to store various data formats of data coming from different portfolios. Worked on improving performance of existing Pig and Hive Queries.

Created reports and dashboards, by using D3.js and Tableau 9.x, to explain and communicate data insights, significant features, models scores and performance of new recommendation system to both technical and business teams.Utilize SQL, Excel and several Marketing/Web Analytics tools (Google Analytics, Bing Ads, AdWords, AdSense, Criteo, Smartly, SurveyMonkey, and Mailchimp) in order to complete business & marketing analysis and assessment.

Used Git 2.x for version control with Data Engineer team and Data Scientists colleague. Used Agile methodology and SCRUM process for project developing.

KT with the client to understand their various Data Management Systems and understanding the data, creating meta-data and data dictionary for the future data use/ data refresh of the same client.

Structuring the Data Marts to store and organize the customer's data.

Running SQL scripts, creating indexes, stored procedures for data analysis,Data Lineage methodology for Data Mapping and maintaining data quality.

Prepared Scripts in Python and Shell for Automation of administration tasks.

Maintained PL/SQL objects like packages, triggers, procedures etc. Mapping flow of trade cycle data from source to target and documenting the same.

Performing QA on the data extracted, transformed and exported to excel.

Participated in all phases of Data Mining; Data Collection, Data Cleaning, Developing Models, Validation, Visualization and performed Gap Analysis.

Extracted data from HDFS and prepared data for Exploratory Analysis using data Munging.

Built models using Statistical techniques like Bayesian HMM and Machine Learning Classification Models like XG Boost, SVM, Random Forest. etc.

A highly immersive Data Science program involving Data Manipulation & Visualization, Web Scraping, Machine Learning, Python programming, SQL, GIT, Unix Commands, NoSQL, MongoDB, Hadoop.

Used Pandas, Numpy, Seaborn, Scipy, Matplotlib, Scikit-learn, NLTK in Python for developing various Machine Learning Algorithms.

Worked on different data formats such as JSON, XML and performed machine learning algorithms in Python. Personal Details:

Father's Name: :- Rajendra Narayan Gangurde

Mothers Name :- Asha Rajendra Gangurde

Permanent Address :-Pratap Chawk, Patil Wada Chalisgaon, Jalgaon, Maharashtra

Dob:- 1/5/1999

Material Status :- Married

Gender :- Female

Language :- English, Hindi, Marathi

Declaration: -

I hereby declare that the above-mentioned information is correct to the best of my knowledge. Date.

Place.

Regards

Trupti Rajendra Gangurde

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