Ankit Vashistha

Software Engineer

Bengaluru, Karnataka, India5 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over five years of experience in analytics and machine learning.
Expert in transforming complex data into actionable insights.
Proven track record in optimizing processes and developing predictive models.

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

Contact

Skills

Other Skills

A/B TestingAirflowAlgorithmsAnalytic Problem SolvingAnalytical SkillsApplied MathematicsBusiness AnalysisBusiness AnalyticsC (Programming Language)CalculusClassificationCommunicationComputer ScienceComputer VisionCross-functional Team Leadership

About

I am a data-driven professional with over five years of experience in analytics, machine learning and decision science, passionate about transforming complex data into actionable insights that drive business impact. My work has spanned multiple industries, where I’ve built scalable systems, optimized processes, and developed predictive models to solve challenging problems and improve efficiency. With a strong foundation in data analysis, machine learning, and visualization, I thrive on identifying trends, uncovering opportunities, and enabling informed decision-making. I enjoy collaborating with cross-functional teams to craft innovative solutions and create value at scale. Always eager to explore new challenges, share ideas, and contribute to impactful projects in the analytics and technology space. Let’s connect!

Experience

Exathought

Lead Engineer

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Remote

Working for IQVIA as external consultant

Shipbob

Senior Pricing Analyst

Dec 2024 – May 2025 · 5 mos · Remote

Novo

Senior Data Analyst

Feb 2024 – Nov 2024 · 9 mos · Gurugram, Haryana, India · Hybrid

Designed a system to verify valid identification document submissions for new members, reducing fraudulent applications by approximately 23%.
Collaborated on campaigns to enhance funding rates and core customer activation, involving target cohort identification, incentive structuring, and post-campaign analysis.
Optimized fraudulent loss tracking by transforming a manual monthly process into a live, real-time dashboard accessible organization-wide.

Snapmint

Decision Scientist

Sep 2023 – Feb 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Product Propensity Model
Built a model to predict the propensity scores for each product bucket in
order to send personalised communications to the customers. Helped
reduce the marketing budget by ~17% and increasing the click through
rates across communication channels by ~0.4%

Mu sigma inc.

3 roles

Apprentice Leader

Oct 2022 – Apr 2023 · 6 mos

Site Selection – Took the lead in driving a project and managed a team of four members to enhance the precision of predicted sites through the existing pipeline
Agent-based simulation – Pitched the project and collaborated with a team of two members to develop a prototype

Decision Scientist

Jan 2022 – Oct 2022 · 9 mos

Biomarker Identification – Identified biomarkers associated with severe cardiac adverse events among patients receiving ICIs using SHAP plots on a predictive model
Network Analysis – Created an investigator network over publication data to identify new investigators to target for domain indication using ‘networkx’ python librar

Trainee Decision Scientist

Oct 2019 – Jan 2022 · 2 yrs 3 mos

Site Selection – Created a semi-automated clinical trial site selection pipeline on Dataiku to predict sites at high probability of completing enrolments under desired timeframe using machine learning
Drug Repurposing – Crunched data to generate evidence on off-label usage of a domain drug based on the prevalence of identified common treatment regimens
Automation – Automated manual work of extracting clinical trial data from DQS and Citeline using Selenium
Dashboarding – Prepared a dashboard on Tableau to visualize prevalence of a medical indication at a geographical level