Mohit S.

Business Development Executive

Bengaluru, Karnataka, India3 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building data-driven decision-making systems.
Proficient in automating ETL processes for big data.
Skilled in predictive modeling and data analysis.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Healthcare analytics.

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Skills

Core Skills

Data AnalysisEtlData EngineeringPredictive Modeling

Other Skills

AWSAlgorithmsAmazon RedshiftAmazon Web Services (AWS)Analytical SkillsAnalytical SolutionsAnalyticsBig Data AnalyticsBig Data ProcessingBusiness Case PreparationCC++CommunicationDashboardsData Analytics

About

A Data Scientist with experience in both product and service based companies, have explored various fields of Data Science and set up insights driven analytics infrastructure and data-driven decision making mechanisms for companies.

Experience

Innovaccer

Healthcare Business Engineer II

Jul 2022 – Apr 2023 · 9 mos · Bengaluru, Karnataka, India

Worked with multiple clients and stakeholders to translate business problems into analytical solutions.
Automated monthly reporting process to improve process efficiency & reliability of data delivered to clients.
Translated ELT oriented data processing to ETL to accommodate future big-data processing needs thus avoiding potential memory expansion and in turn saving cost of cloud services.
Worked on an exploratory data analysis with a client to identify the right set of products, test the feasibility of solutions and project the potential future savings in cost.
Designed a new analytics stream with key metrics designed to help the client understand and compare the savings in cost before and after onboarding with a product and also compare Quarter-on-Quarter performance.

Data AnalysisData VisualizationPredictive AnalyticsStatistical AnalysisETLData Warehousing

Bright money

Junior Research Scientist - Data Science

Jan 2020 – Dec 2020 · 11 mos · Bengaluru Area, India

Implemented a Revenue Projection Model using a unique variation of moving average time series technique.
Single-handedly built and maintained one-stop data platform designed using data pipelines based on ETL principals leveraging GCP and python powering 90% of the Analytics and Visualizations across multiple teams.
Tons of descriptive and prescriptive ad-hoc Analyses for MoneyScience™ algorithm using pandas.
Set up automated smart monitoring, alerting and reporting systems.
Analysis and identification of issues related to user acquisition, retention, activation and monetization.
Designed and developed ER data models and created fault-tolerant ETL pipelines for the Data Warehousing Pilot Project leveraging AWS Athena, AWS S3, pandas and django ORM.
Briefly worked with the engineering team and implemented the user onboarding logic through a finite state machine in python.

Data EngineeringETLData AnalysisPythonGCPAWS

Cognizant

Data Engineer

Jul 2018 – Dec 2019 · 1 yr 5 mos · Chennai Area, India

My role was to develop, automate and maintain big data pipelines for targeted digital advertisements, I automated 80% of the manual ETL process using python and shell.
Worked on Big Data Processing, Data Manipulation, Feature Engineering, Data Integration and ETL techniques using AWS Redshift, SQL and Python.

Big Data ProcessingETLPythonSQLData Engineering