Apoorva Srivastava

About Apoorva Srivastava

Experienced Data Scientist with deep expertise in building and deploying ML solutions from ideation to design to production. Skilled in advanced models (XGBoost, LightGBM, CatBoost, Neural Network), large-scale data manipulation, and SQL optimization. I collaborate closely with stakeholders to translate business needs into scalable models that drive impact.Experienced in mentoring junior data scientists, leading technical reviews, and delivering high-quality, production-ready solutions. Passionate about applying strong modeling, feature engineering, and deployment best practices to solve complex business problems.In addition to core ML work, I have hands-on experience with NLP techniques and have explored emerging areas like transformers and attention models through personal projects.As a former startup Founder of an ecommerce platform, I bring an entrepreneurial mindset to data-driven decision-making, turning insights into impactful strategies. Skills:ML Model Development & Deployment (XGBoost, LightGBM, CatBoost, Neural Network)Data Manipulation, Feature Engineering, SQL, Python, TensorflowEnd-to-End Solution Ownership (Ideation → Design → Deployment)Stakeholder CollaborationTeam Mentorship & Technical LeadershipNLP and Model Fine-tuning (Transformers, Attention Models)- Machine Learning:1. User Purchase Behavior2. People Analytics3. Churn Analysis- Experimentation:Designed and analyzed 50+ A/B tests to determine marketing strategies and product features on social media and Meta Ad campaigns- Dashboard:1. COVID-19 impact on Developer Productivity for 20 teams.2. Global vendor productivity.3. Product health scorecard4. User engagement metrics- Management:1. Managed 4 teams of total 20 individuals2. Mentored 3 Data Analysts- Programming Languages: Python, SQL- Cloud & Big Data Infrastructure: Microsoft Azure Suite, AWS- Data Visualization: Tableau, Matplotlib, Seaborn, Plotly- Analytics Platforms:Mixpanel, Segment, Snowflake- Statistical Analysis: Hypothesis & A/B Testing. Descriptive, Predictive & Prescriptive modeling- ML Libraries:Pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost, LightGBM- ML Algorithms: Regression, Decision Trees & Random Forest, Factor Analysis, Clustering, PCA, KNN, Ensemble- Certifications: NLP Specialization, GenAI with LLMReach me: a••••••••@gmail.com

Experience

1. Vice President - Tech Lead

   Citi

   Jul 2025 — Present · NJ, US

Education

• UNITED COLLEGE OF ENGINEERING AND RESEARCH, GREATER NOIDA

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

• University of Connecticut School of Business

  Master of Science (M.S.), Business Analytics & Project Management

Skills

• Html
• Statistics
• Analytic Solver Platform
• User Acceptance Testing
• Web Services
• Web-Based Research
• Data Analytics
• Oracle Enterprise Manager
• Sql
• Visio
• Defect Tracking
• Hp Quality Center
• Xml
• Core Banking
• Databases
• Jmp
• Oracle
• Email Marketing
• Regression Testing
• Social Media Marketing
• Pl/Sql
• R
• Soa
• Requirements Gathering
• Predictive Modeling
• Oracle Fusion Middleware
• Software Development Life Cycle (Sdlc)
• Sdlc
• Quality Assurance
• Python
• Crowdfunding
• Test Cases
• Functional Testing
• Retail Banking