Vasanth S. Bhaskara

Business Development Executive

Pune, Maharashtra, India1 yr 9 mos experience

Most Likely To Switch

Key Highlights

Expert in data-driven solutions for healthcare.
Proficient in advanced statistical modeling techniques.
Strong foundation in engineering and mathematics.

Stackforce AI infers this person is a Data Engineer specializing in Healthcare analytics and predictive maintenance.

Contact

vasanthsbhaskara@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringMachine LearningEngineeringResearch

Other Skills

Marketing Mix ModelingETLRegression ModelsClient CommunicationProcurementComputer VisionImage ProcessingTokenizationWord EmbeddingsLoRAPEFTLLM-as-a-JudgeFinetuningTransformersVector DB

About

I bring a strong foundation in Mathematics, Computational Skills, Engineering, and Business Acumen, built during my undergraduate studies at NIT Calicut. At ZS, a leading global consulting firm specializing in data-driven solutions for the pharmaceutical and healthcare industry. I work on solving high-impact business problems in the Digital Customer Experience space. I work on Marketing Mix Modeling, I use a combination of statistical analysis, feature engineering (e.g., ad stocking horizons, log transformations), regression modeling, to help top pharma and life sciences clients make strategic, data-informed decisions. Earlier, at HPCL—one of India’s largest Oil Marketing Companies—I worked as a Condition Monitoring Engineer at the Visakh Refinery. I implemented AI-driven predictive maintenance tools to reduce downtime, built dashboards for tracking maintenance compliance, and managed procurement activities, gaining end-to-end exposure to the oil business from refining to sales.

Experience

1 yr 9 mos

Total Experience

10 mos

Average Tenure

1 yr 4 mos

Current Experience

Zs

Business Data Analyst

Feb 2025 – Present · 1 yr 4 mos · Pune District

Conducted marketing mix modeling for J&J's immunology brands enabling data-driven omnichannel strategy optimization
Built ETL pipelines from ingestion of raw promotional data from various tables using AWS redshift, to various cleaning and aggregations using Pandas following the medallion architecture
Developed Linear and Bayesian regression models with engineered features (e.g., ad stocking, normalization, log transforms) to accurately account for the impact of each marketing channel on total impactable sales
Translated model outputs into deck-ready insights and excelled in client communication

Marketing Mix ModelingETLRegression ModelsClient CommunicationData EngineeringMachine Learning

Hindustan petroleum corporation limited

Engineer

Aug 2024 – Jan 2025 · 5 mos · Visakhapatnam, Andhra Pradesh, India · On-site

Conducted equipment monitoring using software like Honeywell Forge and Bentley Nevada System

EngineeringProcurement

Indian institute of science (iisc)

IASc-INSA-NASI Summer Research Fellow

May 2023 – Jun 2023 · 1 mo · Bengaluru, Karnataka, India · On-site

Project Title: Droplet Dynamics on Heated Substrates
Advisor: Dr. Susmita Dash, Indian Institute of Science (IISc), Bengaluru
Conducted the experiments involving water droplets on hot pillared surface, and capturing the dynamics using high-speed cameras
Conducted Image processing in Python using OpenCV on the clip of a Leidenfrost droplet
Gained proficiency in the principles of image processing algorithms: Gaussian Blur, Canny Detector, Thresholding, and Contouring
Quantified the effect of increase in heat transfer from the pillars to the droplet with pillar height, by modelling the system as fins

ResearchComputer Vision