Aditya Yadav

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Experience: 7 years in Data Science and Analytics

Technical: Python, Machine Learning, Deep Learning, NLP, Text Classification, Experimentation, Statistics
Analytics: User Segmentation, User Funnel Analysis, Exploratory Data Analysis (EDA)
Tools: Mixpanel, Stakeholder Management, Cross-functional Collaboration

Developed and managed analytical systems to drive actionable insights for B2C and B2B products
Specialized in conducting and designing experiments for product growth and optimization
Proven expertise in Analytics Leadership and effectively engaging stakeholders across Engineering, Product, and Operations

Bachelor of Technology

Data Scientist

Owned analytics for both Content Moderation (as an IC) and Safety, leading a team of 3.
Led analytics initiatives focusing on platform abuse trends, KPIs, and data science model performance across user-generated content on the Grab App.
Developed risk signals to identify risky users, resulting in a 2x increase in incident detection.
Created a language model to detect profanity using BERT, reducing text-based incidents by 10% across Thailand.
Developed a user segmentation system and a Customer Lifetime Value (CLV) prediction model, achieving a 2pp reduction in churn rate and generating $4k in monthly savings.
Conducted extensive A/B testing and advanced experimentation techniques to optimize content detection and driver allocation.

Co-Founder

Developed SnapMyDesign, a platform for generating custom illustrations and designs, enabling designers to create digital assets.
Launched CVSwitch, an app that streamlines resume building by generating tailored CV content for job seekers.

Senior Analyst

Developed a theme-based index for sectors like AI and Renewables, increasing client book value by $100k.
Utilized VADER sentiment analysis and NLP techniques to categorize stocks.
Created a volatility-based index tailored to diverse client needs, targeting a book value of $200k.

Data Scientist

Developed an anomaly detection model for monitoring alert rates, resulting in a 50% drop in response time.
Integrated new alerts into the driver safety score and created a Tableau dashboard for insights on driver performance.

Product Analyst

Analyzed pricing based on user segments in construction and agriculture, leading to a 5% revenue increase.
Created 3D maps from 2D images for government projects using ArcGIS.
Developed predictive models to improve project timeline accuracy by 20% using historical geospatial data.