Data Scientist
Resume:
Naga Sri Harsha Akavarapu
Data Science Practitioner having 2+ years of work experience and solved several business problems in multiple domains, aimed at achieving results to benefit the organization. Expertise in deriving useful insights from the data, Solid understanding of machine learning algorithms besides having a profound knowledge in model building.Experienced in AWS cloud services and architectures. ************@*****.***
Pune, Maharashtra,411014
linkedin.com/in/sriharsha863
github.com/sri201822
SKILLS
Python R
Tableau
Machine Learning
Big Data using PySpark
Deep Learning
Data Analysis SQL
Statistics NLP
AWS Cloud Keras
Tensorflow
Data Wrangling
Advanced Excel ETL
BUSINESS
DOMAINS
Electronics
Real estate
Retail and E-commerce
OTT and Media
WORK EXPERIENCE
05/2019 – Present
Data Scientist
ThinkBumblebee Analytics Pvt.Ltd
Pune
Achieved Increase in subscription rate by 15% for an OTT client by building efficient Recommendation engine with user level personalization on 2 million active user base using Neural Networks,Keras.
Built POC for campaign process and developed data pipeline to handle raw data,performed ETL operations using PySpark also built efficient machine learning clustering models for customer- segmentation which enables end user to target high likelihood buyers from huge customer base and sell specific products via customized campaigns for in-house product. 11/2018 – 05/2019
Data Analyst (Business Strategy)
Puranik Builders Limited
Mumbai
Responsible for presenting reports on Market Research and Competitor Pricing and designing strategy to improve sales using Advanced Excel and Tableau besides building prediction models using Logistic Regression, Random Forest, SVM which improved conversion rates. Developed Excel and Tableau dashboards to track location-wise daily walk-ins and bookings, performance of sales managers, CRMs at various sites on real-time basis. 07/2017 – 12/2017
Quality Control Analyst (Research & Development)
Rishabh Instruments Pvt.Ltd
Nashik
Generated Reports and researched and provided solutions to reduce EMI-EMC effect and improve the quality of various products.
EDUCATION
03/2018 – 03/2019
Post Graduate Diploma in Data Science
International Institute of Information Technology Bangalore (IIIT-B) 3.93/4
06/2013 – 06/2017
B-Tech in Electronics and Communication Engineering Sardar Vallabhbhai National Institute of Technology (NIT SURAT) 8.20/10
DATA SCIENCE PROJECTS
Credit Loss Minimisation for CredX
Achieved profit gain of 22.86% by minimizing potential credit loss using various machine learning models, designed an application scorecard and suggested the cut-off score and criteria to issue credit cards using R.
Parking Tickets NYC Analysis
Presented a detailed analysis with report on tickets issued, revenue collections, violation codes on year- wise, state-wise on total of 30 million records using Spark. Demand Forecasting of Champagne
Achieved Accurate demand Forecasting of Champagne using Time Series Forecasting ARIMA models. Projects:
Projects:
Projects:
Contact this candidate