Shivam Sahu

Product Manager

Gurugram, Haryana, India5 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

5+ years of experience in Data Science and Business Analytics.
Proven track record in handling complex datasets and machine learning models.
Expertise in optimizing marketing strategies through data-driven insights.

Stackforce AI infers this person is a Data Science and Business Analytics expert in the B2C sector.

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Skills

Core Skills

Data ScienceMachine LearningBusiness AnalyticsData Engineering

Other Skills

Python (Programming Language)SQLApplied MathematicsAlgorithm DevelopmentAptitudeCommunicationAnalytic Problem SolvingPresentationsAnalytical ReasoningProblem SolvingTeamworkTeam CoordinationCross-functional Team LeadershipAnalytical SkillsCorporate Communications

About

5+ years experienced highly skilled Data Scientist and Business Analytics professional. An engineering graduate from NIT (Tier-1), Masters in Data Science from top ranked Deakin University & PGP in Data Science and Business Analytics jointly from University of Texas & Great Lakes Chennai. Proven expertise developed from world class latest course curriculum, large number of rigorous projects with 5+ years’ of challenging corporate work experience with track record in handling complex datasets, preprocessing, exploring and further identifying, designing and deploying appropriate machine learning and analytical models, aiming at finding and extracting valuable insights for supporting business decisions.

Experience

5 yrs 8 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs

Current Experience

Zomato

Senior Product Analyst

May 2024 – Present · 2 yrs · On-site

Developed a cluster-based DoD event sales forecasting model to identify underperforming District events early; enabled targeted digital marketing interventions and reallocation of budgets, reducing spend wastage by 22% and salvaging high-stakes events at risk of missing GMV targets. Achieved MAE: 7.2%, R²: 0.91 for 14-day ahead forecasts.
Implemented user personalisation to identify high potential dining users for migration of premium users to District app leading to reduction of ~Rs80 in Cost per install.
Added genre and subgenre classifications for historical event data using OpenAI's API, enhancing dataset quality for lookalike audience modelling and improving digital marketing targeting eﬀectiveness.
Implemented A/B testing frameworks to optimize mktg campaigns, leading to improved stakeholder confidence in campaign performance analysis.

Python (Programming Language)SQLData ScienceMachine Learning

Cars24

Senior Product Analyst

May 2022 – May 2024 · 2 yrs · On-site

Awards & Recognitions:
Rockstar of the month (Cars24)
Awarded for my contribution to setting up E2E tracking for TAT of various processes in the company alongwith R&D projects.
Achievements:
Developed a heuristic model for finance partner allocation to better park leads in appropriate partners. This helped increased agent productivity by 38% and reduce credit sendbacks by 17%.
Created a Logistic Regression Lead Priority model for targeting users most likely to be converted in the funnel. Attained 12% better conversion over the existing heuristic model.
Built a predictive model to optimize top-of-funnel preapproval loan oﬀers, analyzing customer responsiveness to loan terms (interest rates, amounts, tenure), leading to a 5% increase in next step conversion by tailoring oﬀers.

Python (Programming Language)SQLData ScienceBusiness Analytics

Lti - larsen & toubro infotech

Data Engineer

Sep 2020 – May 2022 · 1 yr 8 mos

Awards & Recognitions:
Performer of the Quarter - LTI (2021)
Awarded for handling client requirements seamlessly.
Achievements:
Implemented Time Series Forecasting to predict future demand for bestselling products during COVID. This helped plan inventory, leading to an increase of ~15% in profitability.
Created Tableau dashboards for tracking ETL and pipeline failures.
These automations resulted in a 40% improvement in issue resolution TAT.
Analysed competitive pricing landscape for an FMCG client to identify price gaps between competitors. This helped formulate pricing strategy, leading to margin uplift of ~10%.
Access /storage of large amount of dataset, cleaning, feature extraction, EDA and data modelling; using Azure Sql, Python, Power BI, Tableau & excel, applying knowledge from Data Science, Data Engineering and Analytics.

Data EngineeringData Science