Ashmit Kolli

Master’s in data science & Bachelor’s in computer science engineering

• 906-***-**** • adgwm2@r.postjobfree.com • Chicago, Illinois •

Linkedin : https://www.linkedin.com/in/1inamillion/

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Summary:

A Cumulative of 3+ years experience working with multiple teams around the globe towards a complex deliverable as a Technical Analyst in the world of APIs and data in the IT Industry with strong understanding of data and applications of data analytics in real world problem solving and an entrepreneurial ability to simplify and communicate clearly with peers/clients/stakeholders on projects and results in both business and technical terms. Experienced in the Agile Framework, CI/CD, version control, source code management, developing Swagger documentations by coding in YAML formulating JSON / XML bodies per requirement and managing SOAP and RESTful Web Service APIs with traffic management, analytics, logging, authentication, mediation, error handling and other high-level custom JavaScript written policies.

Work Experience:

Walgreens Deerfield, Illinois – Api Integration Developer (January 2020 – September 2020)

Engineered the enterprise API project that was aimed at transforming the backend legacy systems into API driven models by providing useful and timely data through REST APIs. Implemented end to end OAuth2.0, JWT security policies that utilized authentication servers, KVMs, Target servers and developer apps to verify the authenticity of the incoming requests, and threat protection policies that assisted in throttling traffic preventing DOS/dDOS attacks.

Launched a full-fledged API program based on Azure cloud services such as Azure blob, Azure DevOps and Azure API Management and constructed Flow Hooks and Shared Flows that were used to prevent redundancy of the future development of API proxies.

Verizon Piscataway, New Jersey – Apigee Developer (August 2019 – January 2020)

Completed the CCPA project that makes all the data the company has on the customer to be available for preview or download.

Collaborated on various automated data processing activities in their different stages: from data discovery to statistical model building, prototype design as well as implementation into efficient API utilizing Google cloud platform(GCP) bucket for data hosting.

Developed JavaScript policies that automated the redirection of the requests from the front end to appropriate backend target endpoints (Salesforce, Vlocity, microservices hosted in Kuberetes) along with having message transformations, authentication, threat protection, traffic management and implemented it seamlessly into the API management tool. Also developed custom policies and error handling mechanisms that logged errors and provided analytics that was utilized by the team for providing bug fixes.

Inel Power System Engineers Pvt. Ltd. Hyderabad, India - Business Intelligence Analyst (May 2018 - August 2018)

Interpreted Data Analysis using Python, SQL, and R for extracting data, model development, optimization and Tableau for identifying, summarizing and presenting trends and patterns in complex data sets to empower data-driven decision-making.

Collaborated on designing, deploying and operating highly available, scalable and fault tolerant systems using AWS.

Core Compete Pvt. Ltd. Hyderabad, India - Data Analyst (May 2017 - September 2017)

Investigated the retail data of a company based in the United States Of America which was one of the clients of CoreCompete.

Worked with the team who developed a Recommendation Engine using Python to create product recommendations utilizing machine learning libraries like Python's scikit-learn. Engineered the nearest neighbours algorithm see how each and every customer in the dataset compared with each other to relate every product sold by the company for each customer based on their purchase history to the similarity of the customers.

Samsan Electrical Industries Pvt. Ltd Chennai, India - Inventory Analyst (August 2016 - December 2016)

Pioneered machine learning algorithms such as Naïve Bayes, Random Forests and SVMs to figure out which products to stock up so as to minimize the time it spends in the inventory with an optimum accuracy of 86%, using R.

Researched, mined, cleaned, manipulated and validated large datasets using Hadoop and Pyhton to to achieve analytical goals and meet business needs by troubleshooting and determining data errors within systems to ensure data accuracy and integrity.

Used Clustering in R to Identify, analyze, and interpret the trends and patterns in inventory dataset.

Tirumala Milk Products Pvt. Ltd Chennai, India - Business Technology Analyst (January2015 - July 2016)

Administered establishing the company’s online presence by designing the UX/UI of the company's website and Coordinated with the lead developer closely to have the website configured to the requirements. Executed effective production plan and resource allocation to achieve project goals.

Gained exposure at professional level with C, JAVA, HTML, CSS and JavaScript, writing complex SQL queries, scheduling tasks using cron jobs, advanced Excel functionsand in understanding business needs, research analysis, coding, functional and technical document design specification.

Education:

Michigan Technological University, Michigan, USA

Master’s in Data Science. (2017-2019)

Anna University, Chennai, India

Bachelor’s in Computer Science & Engineering. (2012-2016)

Certifications:

Received “Google Apigee API Developer” certification on August 2019. (CREDLY-19858448)

Received “Google Ads Display” and “Google Analytics Certification” on October 2018.

Received Level B2 BEC Vantage certificate in Cambridge Business English Certification (BEC).

Received 313 in GRE & 7.5 in IELTS Examinations.

Technical Skills:

Languages: Python R, YAML, JSON, HTML, XML, JavaScript, CSS, MySQL

Related Tools : Apigee, SAG API Web Methods, Splunk, loggly, RESTful API, Kubernetes, AWS, GCP, Azure.

Business Intelligence: Tableau, Power BI, Jira, Confluence, Qlik Sense, Looker, Power Pivot, GIT, SVN.

Database Tools: SQL Server, Mongo DB and Oracle

Data Science: Predictive Modelling, Data Mining, Data Visualization, Regression Analysis, Clustering, Classification, Bayesian Approaches, Machine Learning, k-NN, K Means Clustering, PCA, X Artificial Intelligence, Recommendation Systems, Human Computer interaction Design.

Academic Projects Under Professors:

Text analytics and data mining to mine the dataset of 13,000 emails sent by the top 150 executives of the Enron Corporation to identify which emails sent by the executives are useful in pinpointing the executives responsible for causing the energy crisis.

Linear and non-linear regression models to predict the price of the used car using R and Python.

Used Tableau to plot the visualizations of data trends and utilized R to predict the amount of snowfall that would be received by the Houghton County in the month of December 2018 on November 2018.

Developed In-depth visualizations using Tableau Such as: Tree Map, Radar Plot, Heat Map, Multivariate Line Graph, Bubble Chart, Sankey Diagram, Density Plot, Scatterplot, Stepped Area Graph & Box Plot to compare the nutritional composition of various food items offered in McDonald’s.

Performed an adversarial attack on Image Recognition System of a car to find out if there are flaws in the AI used in self driving cars that classify the images using its knowledge base.

Worked as a business analyst in Michigan Technological University IT department to tackled the problem they had of keeping track of the training progress of their new employees by developing an application.

Developed an “Android Application to serve Multiple organizations with Newsfeed and GCM” to provide announcements to their students reliably, IEEE paper was presented at a National Conference on 7th April 2016.

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