Sriram Srinivasan
Data Science Consultant
Chennai
Summary
Rational, critical-thinking Data Science Consultant, Accenture Solutions with over eight years of experience in Data Science and Analytics. Excellent reputation for resolving business problems, improving customer satisfaction, and driving overall operational improvements. . Well-coordinated in addressing problems, investigating root causes and implementing successful resolutions.
Overview
11
11
years of professional experience
9
9
years of post-secondary education
Work History
Data Science Consultant
Accenture Solutions
07.2021 - Current
- Kraft Heinz CPG - Worked with US Client for Financial Reporting and Analytics.Developed Financial and Supply Chain Tableau Dashboards.
- Etisalat : Customer Churn : Telecom Analytics - Developed and Supported Customer Churn and Propensity models for B2B segment.
- Etisalat : Customer Spend Potential: Predicted for B2B , Non -Premium Segments and used the same to prioritize customers and used the same to prioritize customers for Campaigns for the B2B segments.
- WhatsApp: Delivered NLP based solution to break down the customer feedback statements for WhatsApp( Facebook) and provided the root cause analysis of the issues faced by customers
- Accenture Product Development : Enhanced the existing solution built in AWS Sage maker platform by improving the efficiency and performance of the models
Lead Analyst - Data Scientist
Infosys Limited
07.2016 - 03.2021
- Health Care Analytics(Health Insurance Clients): PDC Adherence Prediction: Logistic Regression and Random Forest Model to predict the Adherence prediction for the Insured Customers in the next Insurance year Readmission Risk Prediction: Developed Analytics models to predict the patients with High Risk of readmission who contribute the major chunk of cost of for the Health Insurance companies.
- Entity Resolution : I have individually worked on developing the NLP based solution resolving the entity relationship .I have used python based API with the RDBMS tables to develop the platform for matching the entities and there by arriving at the duplicate/non-duplicate records . The final solution is to develop the golden records of the master table.
- AI Based Data Engineering /Data Management Tool . I have individually worked to develop the solution of Auto Data Mapper using AI Solutions composed of different Machine Learning, NLP and statistical techniques to map the tables from different data sources systems to target systems which was later registered for IP of Infosys .
- Retail Analytics: Worked on logistic Regression Models, Decision Trees, Support Vector Machine and many other classic machine learning algorithms.
- Churn Prediction :Build statistical models to predict the Churn using SVM and the propensity to buy for the retail customers.
- Shipment Arrival Prediction: Developed various models to predict the delay/arrival of the shipments to the Distribution centre caused by the supplier chain logistics have used Logistic Regression, Support Vector Machines and Decision trees to solve the problem.
- Pricing Analytics Solution: Pricing recommendation & suggestion engine to provide the optimized pricing based on Price elasticity prediction for Revenue management for a Retail Client.
- Time Series Analysis for call volume prediction for resource allocation Telecom Customer services.
- Multi-layer perceptron Neural Network for Corporate Bank Balance Forecasting for smart seeping of cash from Zero interest account to interest earning account.
- Automated Ticket Routing Algorithm: NLP Solutions for Ticket Resolution matching for Customer Service Intents with the help of Document to Vector Conversion models and Cosine Similarity Scores.
- Health Care Analytics Solutions to improve and expedite the process of Claim Adjudication using Machine Learning Algorithms
- Financial Analytics Reporting: Working on Financial Reporting for the retail client, building interactive dashboards on Supplier Analysis, Profit and Loss Analysis and Working Capital Management. The project has been welcomed and accepted by the client for my valuable inputs on the financial inputs to monitor the performance of the Supply Chain . EVP of Data and Analytics, Infosys, has given the award of appreciation.
- Mini Project During Training: Worked on a mini project during training at Infosys, build a predictive model using logistic regression to predict the delinquency in customer banking segment.
Student Foreign Exchange Intern
Student Exchange Programme, MCI Austria
03.2016 - 06.2016
- (4 Months) I have been selected in the interview process to attend the student Exchange Programme, sponsored by the Institute, and Studied the summer semester in Management Centre Innsbruck (MCI), Innsbruck, Austria During the Student Exchange programme of the summer semester, as a part of the curriculum registered, I have studied the courses on European Financial Markets and Stock Exchanges, Experimental Economics Projects and Global Business Trade.
Summer Research Intern
ANI Technologies Private Limited, OLA Cabs
05.2015 - 07.2015
- Customer Segmentation and Marketing Strategies.
- Studied the Ola cab's customer usage pattern in the Chennai city with the help of suitable analytical techniques and identified high potential & Revenue generating zones and drafted relevant and appropriate marketing strategies.
- The project gave a new perspective and helped Ola to tap the potential of Northern zones of the city.
- Understood the usage patterns of the customers and calculated the percentages of repeat customers on an average day.
- Calculated the ticket size and made buckets of customers with different ranges of ticket size.
- Identified high and low revenue generating zones in Chennai and found out the reasons for the lag in revenue.
Project Engineer
Wipro Technologies
02.2013 - 04.2014
- Retail Experience - 14 months Three months of corporate training in Mainframe Technologies Target Corporation, Leading Retail Store in Unites States.
- Worked on the (Automation Testing) Target Applications such as POS and Guest Payment Devices on various projects like Guest promotions, Loyalty program releases, Black Friday Promotions Learned the business process and the marketing promotions used in Retail Industry.
- Understood and quantify the effectiveness of the Marketing Promotions Extra-Curricular.
- A passionate trainer and tutor with an enriched teaching experience.
- I have trained students for competitive exams and board examinations.
- A self-motivated person with a dynamic and an analytical mind who has lot of aspirations in life to live up to the potential.
- The core leader and SPOC (Single point of Contact) of the event 5Samurai, the flagship event of DoMS's management festival, Samanvay 2015.
- Core coordinator of the PINKIITHON, marathon of Samanvay 2015.
Education
MBA - Financial Management, Data Science and Analytics
Indian Institute Of Technology
06.2014 - 06.2016
B.E - Electrical and Electronics Engineering
Vel Tech Engineering College, Anna University
06.2008 - 06.2012
High Secondary School -
Maharishi Vidya Mandir Higher Secondary School
06.2006 - 06.2008
Secondary School Education -
S.K.N.S P.M.C Vivekananda Vidyalaya Junior College
06.2005 - 06.2006
Skills
Machine Learning , Data Science
Python Programming
Data Visualization - Tableau
R Programming
SQL
MS Excel
Predicting Models ,Forecasting Models , NLP
Corporate Finance
SAS Programming
PySpark
Timeline
Data Science Consultant
Accenture Solutions
07.2021 - Current
Lead Analyst - Data Scientist
Infosys Limited
07.2016 - 03.2021
Student Foreign Exchange Intern
Student Exchange Programme, MCI Austria
03.2016 - 06.2016
Summer Research Intern
ANI Technologies Private Limited, OLA Cabs
05.2015 - 07.2015
MBA - Financial Management, Data Science and Analytics
Indian Institute Of Technology
06.2014 - 06.2016
Project Engineer
Wipro Technologies
02.2013 - 04.2014
B.E - Electrical and Electronics Engineering
Vel Tech Engineering College, Anna University
06.2008 - 06.2012
High Secondary School -
Maharishi Vidya Mandir Higher Secondary School
06.2006 - 06.2008
Secondary School Education -
S.K.N.S P.M.C Vivekananda Vidyalaya Junior College
06.2005 - 06.2006