KUSHAL MULLAGIRI

ASSOCIATE – DATA SCIENTIST

: ad4gok@r.postjobfree.com : +91-979*******

CAREER OBJECTIVE:

Looking forward to work in a globally competitive environment on challenging assignments utilizing my knowledge and experience as a Data Scientist to yield twin benefits of organization and professional growth. EDUCATION:

• Completed Electronics and Communication Engineering from SSN college of Engineering, affiliated to ANNA University from 2014-2018 with 75.4%.

• Post Graduate program in Data Science (PGPDS) in Praxis Business School, Bangalore. PROFESSSIONAL ACHIEVEMENTS:

• Unit level INSTA AWARD FOR EXECELLENCE for commitment shown in ICARE.

• Received many appreciations from Team & Clients for achieving the targets efficiently and delivering Demos to multiple clients.

TECHNICAL SKILLS:

• Programming languages : Python, and C++ .

• Python libraries : Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, NLTK, spaCy.

• DBMS : MySQL, PostgreSQL and RDBMS, Hive sql

• Tools/IDE : Eclipse, Jupyter Notebook, MySQL Workbench, Power BI.

• Data Science Skills : Machine Learning (Linear Regression, Logistic Regression, Decision Tree and Random forest, Bagging, Boosting K-NN classifier, SVM, Clustering),Natural Language Processing (NLP), Text Analysis, Time Series(ARMA, ARIMA, SARIMA

,Heuristic methods) Statistical Modelling.

• OS : Windows, Linux. Google cloud platform

• Cloud Platform : Google cloud platform

EXPERIENCE:

• 4 years 6 months of IT industry experience in Python, SQL, Exploratory Data Analysis, Data processing & Machine learning models and building ML pipelines using various techniques (supervised, unsupervised).

• Have experience in working in domains like Insurance and Retail and Manufacturing sector.

• Worked on end to end ML model pipeline

• Worked on ticketing system like service now. Build automation pipeline by using Infosys LEAP application.

• Worked on Statistical and Causal modelling Framework for largest US Retailer.

• Worked with development teams in Agile SDLC best practices. Ensured the release of quality deliverables that provided intuitive and secure experiences for users. PROJECTS:

Tiger Analytics Consulting (November, Aug 2023 to till date) PROJECT NAME: Trade Promo Optimization

Worked on: Python, Pandas, SQL, scikit-learn

Trade promo optimization simulator helps clients especially to find out which promo tactic works the best amongst all the promotion levers available in the market. Using Machine learning models to estimate the impact of each of the lever and help to calibrate the base and incremental sales for each of the SKU will help to take actionable insights to enhance the promotional framework. Responsibilities:

• Built end to end data pipeline for the creation of analytical dataset. Incorporating different KPI’s from the Business.

• Performed EDA, feature engineering and feature selection based on considering the business logical and statistical significance

• Implemented framework on Linear and machine learning techniques such as elastic net regressor and Lasso regression based on the characteristics of data influx.

• Driven Business stakeholder calls.

PROJECT NAME: Forecasting Engine.

Worked on: Python, Pandas, scikit-learn, scipy.stats, XGboost, lightgbm Helped business to build a volume forecasting engine that helps to forecast the volume servers for both Europe and north America region so that better supply chain and inventory management can be optimized.

Responsibilities:

• Built end to end data pipeline for the creation of analytical dataset. Incorporating different KPI’s from the Business.

• Performed EDA, feature engineering and feature selection based on considering the business logical and statistical significance

• Implemented a comprehensive time series forecasting framework utilizing various techniques including SARIMAX (Seasonal Autoregressive Integrated Moving Average with exogenous factors), Facebook Prophet, and XGBoost. The selection of techniques was based on thorough analysis and experimentation with the data, considering factors such as seasonality, trend, and exogenous variables. This framework enabled accurate volume forecasting, taking into account complex temporal patterns and external factors.

• Created complex features based on business logic and mathematical functionality that stood among one of the most important feature in forecasting the servers. The Math company (November, 2022 to June 2023)

PROJECT NAME: Cx score ( customer experience score) Worked on: Python, Pandas, pyspark. spark.sql, do-why package, scikit-learn. Customer experience score is used to enhance customer user journey through the website and Mobile application here using Machine learning and causal statistical modelling by implementing DAG ( Directed acylic graphs) feature importance is captured among the pool of levers that can be controlled by business. Responsibilities:

• Built queries using spark.SQL for incorporating the business logics and KPI’s to get quick and meaningful insights from the data.

• Performed EDA using Pyspark as the data size is really large (10 Million rows handled per day )

• Working with ecommerce SME’s to implement the assumptions for the statistical modelling to DAG’s

• Implemented framework on Linear and Non linear machine learning techniques such as OLS regression, Random Forest, XGBoost etc based on the characteristics of data influx.

• Took active part in ADHOC client meetings for requirement gathering and setting the scope of project INFOSYS LTD. (May 28th, 2018 to Sep 27th 2021)

PROJECT NAME: LEAP (LIVE ENTERPRISE APPLICATION MANAGEMENT PLATFORM) Worked on: Python, Pandas, Machine learning algorithms, MySQL. LEAP enables enterprise to sense the changing business needs and IT health continuously, apply AI and Analytics to process information, make decisions at zero latency and respond quickly to optimize IT operations and prevent business disruptions.

Responsibilities:

• Developing native script, drag and drop pipelines using python, Machine learning algorithms for Ticket data automation and multiple client’s use cases.

• Built queries using MySQL for developing dashboards with different graphs and identifying KPI’s to get quick and meaningful insights from the data.

• Performing clustering using LDA algorithm on ticketing data for analytics and forecasting using time series techniques like ARMA, ARIMA, SARIMA and other heuristic methods .

• Analysed, feature engineered, built meaningful dashboards from data for different Accounts like Mondelez, John Deere, McCamish, MetLife, SCE and also built pipelines for different automation uses cases.

• Worked along with other teams in providing solutions to issues involving multiple server environments. PROJECT NAME: TICKET AUTOMATION GSTN (GOODS AND SERVICE TAX) Worked on: Python, Pandas, ML algorithms, MySQL, LINUX, Rundeck The project is regarding automating the tickets logged by the taxpayers from Talisma and classifying and assigning them relevant SOP and resolution notes. Responsibilities:

• Built pipeline using python for fetching the tickets.

• Built model using the initial GST data for predicting and assigning the relevant SOP for daily logged in tickets.

• Build relevant jobs in Rundeck for multiple SOP’s and integrate the jobs to pipeline for adding resolution. notes to tickets.

• Developed pipeline for updating back the tickets to talisma after resolution.

• Mentoring and guiding the new joiners in the project. PROJECT NAME: CRM Central automation for an Australian Insurer client.

Worked on: Inspire designer, OpenText Extreme,Service - Now, Jira To develop CRM templates as per business.

Responsibilities:

• Responsibilities include Collaboration with Business stakeholders, Architects and, Coordinating with the offshore team in delivering the Small and Major Enhancements.

• Designing CRM templates of email and post medium

• The scope involves all the documents generated in batch which include policy packets, declarations, checks, ID cards, cancellation notices and Bills.

CERTIFICATIONS:

• Infosys certified LEAP professional

• Infosys certified Python Associate

• SQL (Intermediate) Hacker rank.

• Post Graduate Program in Data Science (Perusing) CO-CURRICULAR ACTIVITIES:

• Class Representative for my batch during college days for 4 years 2014-2018.

• Won multiple essay writing competitions including district level. STRENGTHS:

Patience, Challenging, Creative, Self-learning, Adaptable DECLARATION:

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

Place: Anantapur KUSHAL MULLAGIRI

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