Rohan Gaikar

Product Manager

Mumbai, Maharashtra, India8 yrs 6 mos experience

Highly Stable

Key Highlights

7+ years of experience in data analysis and machine learning.
Expertise in end-to-end model development and deployment.
Proficient in data visualization tools like Tableau and MetaBase.

Stackforce AI infers this person is a Data Science professional with a strong focus on analytics and machine learning in the Energy and Retail sectors.

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Skills

Core Skills

Data ScienceBusiness AnalyticsMachine Learning

Other Skills

Anomaly DetectionAzureClusteringCustomer AnalysisData AggregationData AnalysisData PreprocessingExploratory Data AnalysisFeature EngineeringFlaskHTMLHadoopMarketing AnalyticsMatlabMechanical Engineering

About

Lead Data Analyst with 7+ professional experience in Data Exploration, Insights Generation, Data Visualisation, Machine Learning, ETL processes, Deep Learning, End-to-End Model Development and Deployment

Experience

8 yrs 6 mos

Total Experience

2 yrs 6 mos

Average Tenure

10 mos

Current Experience

Tredence inc.

Associate Manager, Data Science

Aug 2025 – Present · 10 mos · Mumbai, Maharashtra, India · Remote

Beepkart

Senior Data Scientist

Apr 2022 – Jun 2025 · 3 yrs 2 mos · Bengaluru, Karnataka, India

Customer AnalysisMetaBaseTableauSQLFlaskPython (Programming Language)+6

Payu

Data Scientist

Aug 2019 – Apr 2022 · 2 yrs 8 mos · Mumbai, Maharashtra, India

Johnson controls

2 roles

Data Scientist

Promoted

Sep 2018 – Aug 2019 · 11 mos · Pune/Pimpri-Chinchwad Area

Working in Customer facing team responsible for giving data insights and
prescriptive analytics for one of leading banks
Created python modules for automated data aggregations of hourly energy
consumption data over different temporal bins, hosted and scheduled the
modules on cloud in the form of Azure Webjobs
Incorporated One Class-SVM algorithm, for anomaly detection which
augmented the Fault Detection Diagnostics

Master Engineer Trainee - Data Science CoE

Aug 2017 – Jul 2018 · 11 mos · Pune Area, India

Created machine learning based end to end solution for an offline US-based
Retail Store along with the team of 10
Applied clustering algorithms on the customer data to identify different
segments of customers based on age, purchasing power and purchasing
patterns
Implemented Time Series Forecasting for various products category using
ARIMA model.
Performed Descriptive and Prescriptive Analysis for the store to boost the
sales of products.

Institute placement team, iit bombay

Company Coordinator

May 2016 – Apr 2017 · 11 mos · IIT Powai

Working in team of 42 members responsible for contacting and coordinating with companies for
recruitment of 1600+ students
Coordinating with placement managers and department placement coordinators in conducting
preplacement talks, tests for students from 21 disciplines and 6 degree programs