Ritesh Sawant

Business Development Executive

New York, New York, United States6 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Data Analytics and Machine Learning.
Proven track record in cost reduction strategies.
Strong entrepreneurial mindset with successful business management.

Stackforce AI infers this person is a Data Science and Analytics professional with a strong focus on Machine Learning and Business Strategy.

Contact

Skills

Core Skills

Data AnalyticsMachine LearningData AnalysisBusiness StrategyData VisualizationData ScienceEntrepreneurshipBusiness Development

Other Skills

A/B TestingAWS SagemakerAdobe PhotoshopAdobe Premiere ProAmazon Web Services (AWS)AnalyticsApacheApache SparkBig DataChurn AnalysisCloud ComputingConfluentContent Data AnalyticsCost ReductionData Collection

About

Love finding hidden patterns and learning about Data and its value in the real world. I have a Highly Motivated and Entrepreneurial Mindset. I mainly use Python and the PyData stack for anything that I do but I also know a bit about Apache Spark, TensorFlow, R, SQL, and much other stuff.

Experience

6 yrs 7 mos

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs 10 mos

Current Experience

Tiktok

Analyst

Aug 2022 – Present · 3 yrs 10 mos · New York City Metropolitan Area

Content Data Analytics and Growth Strategy
Program Data Analytics

Data AnalyticsGrowth StrategyContent Data AnalyticsMachine Learning

Genpact

Analyst

Feb 2021 – Aug 2022 · 1 yr 6 mos

Supply Chain Total Landed Cost Model with a reduction of ~$115M in OpEx
Media Client Bad Debt Reserve restructuring with a projected release of ~$95M
Major ISP - Competitive insights for Growth strategy and Churn Analysis

Supply Chain ManagementCost ReductionGrowth StrategyChurn AnalysisData AnalysisBusiness Strategy

Tegger

Data Science Intern

Aug 2020 – Dec 2020 · 4 mos · United States

Deployed a Content based Recommendations System using LDA and Jaccard Similarity on Google App Engine
Performed RFM analysis on user base for user segmentation which led to a 25% increased conversion rate
Improved Precision for Recommendations by 60% and performed A/B Testing on the feature
Visualized User Insights on Google Data Studio for defining various KPIs such as User Growth, Retention

Recommendation SystemsUser SegmentationA/B TestingData VisualizationMachine LearningData Analytics

Rutgers university school of communication and information

Research Assistant

Jun 2020 – Dec 2020 · 6 mos · United States

Researching Systematic Bias using Natural Language Processing and Machine Learning Techniques
Analyzed yearly Search Engine Data using AWS Sagemaker and performed various Statistical tests

Natural Language ProcessingStatistical AnalysisAWS SagemakerMachine LearningData Analysis

Rutgers university–new brunswick

Data Analyst Intern

Feb 2020 – May 2020 · 3 mos · New Brunswick, New Jersey

Performed Predictive and Visual Analytics for University Big Data across different Locations
Developed Tableau Dashboards for different Enrollment retention KPIs like YoY growth etc.
Explored Student data across Schools and Department hierarchies on Oracle database using SQL queries

Predictive AnalyticsTableauSQLData AnalysisData Visualization

Aegis school of business, data science, cyber security and telecommunication

Data Science Intern

Jan 2019 – Jun 2019 · 5 mos · Mumbai Area, India

Successfully developed and deployed a Recommendation System and a Lead Propensity Model for the CRM system on Cloud using Stacked ML Algorithms which led to a 35% increase in conversion rate
Developed a Machine Learning module for the Job Recommendation system used by the company and deployed it efficiently on the AWS EC2 cluster.
Teaching Assistant for the course Natural Language Processing and Projects in Machine Learning under Professor Bhavik Gandhi.
Handled Assignment preparations, Evaluations, Code reviews, and also taken practical coding sessions for various modules in the course of NLP such as Sentiment Analysis, Generative Models, Named Entity Recognition, POS tagging, Information Retrieval.

Recommendation SystemsMachine LearningCloud ComputingData Science

Mvrk

Owner

Dec 2015 – Mar 2017 · 1 yr 3 mos

Strategized the business model and managed company relations while assigning duties to Interns.
Successfully partnered with 4 distributors within the first six months

Business StrategyTeam ManagementEntrepreneurshipBusiness Development