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Senior Analyst with 3.8 years of experience in data analytics and business intelligence within B2C/D2C sectors. Proven ability to analyze user behavior and optimize KPIs, leading to significant business growth. Proficient in SQL, Power BI, Tableau, and statistical modeling for actionable insights and enhanced operational efficiency. Committed to utilizing data to address complex business challenges in fast-paced environments.


  Seasoned Lead Data Scientist with over 14 years of total experience (11 years in Machine Learning and Gen AI, complemented by 3 years in market research), specializing in Machine Learning, Natural Language Processing, and Gen AI. I aim to harness my leadership skills to guide teams in addressing significant business challenges. I excel in Leading Data Science Strategy, Machine Learning Architecture Design & Development, Cross Functional Collaboration, Project Management, Stakeholder Management, Data Visualization and Intuitive Storytelling. My proven ability to thrive in innovative, problem-solving environments is underscored by accolades from stakeholders, recognizing my exceeding expectations in experimentation and research, leading to impactful contributions. Proven track record in mentoring and onboarding, adeptly leading a team of 2 FTEs. Previously, I supervised 4 assistant managers, while mentoring approximately 20 interns and short-term assignment roles and conducted over 100 data science position interviews.
  My expertise spans Marketing and Customer Analytics (B2B and Retail), eCommerce, Fraud Analytics, Supply Chain Finance, Demand Planning & Workforce Management, BFSI, and Retail Banking. Specializing in robust ML solutions, I cover Fraud Analytics, Marketing Analytics, Customer Scoring & Campaign Management, Demand Forecasting, AB Testing, RFM Analysis, and Gen AI Chatbots. Additionally, I excel in delivering business intelligence and fulfilling data visualization requirements.
  Proficient in a wide range algorithms including Regression (Linear/Logistic/LASSO/Ridge/Stepwise), Decision Trees (CART/CHIDE), Clustering (K-Means/Hierarchical/DBSCAN), Ensemble Methods (Random Forest/BAGGING/XGBOOST), PCA, Advanced Time Series Analysis (ARIMA/SARIMA/Holt-Winters/ES), and Association Mining (MBA/Sequence Analysis), Natural Language Processing, Neural Network and LLM.
  My toolkit includes Programming (Python, R & Advanced SAS), Bigdata (PySpark), SQL (SQL Server/Oracle/Hive/PostgreSQL/Presto), AWS (EMR, S3, EC2, Glue, Athena, Redshift, Quick Sight), Azure (Databricks, Synapse, Blob Storage, Copilot Studio, Azure Function, Power Automate), BI Tools (Tableau, Quick Sight, Power BI, SAP BO), MS Office (Excel, PowerPoint, Visio). In addition, I am certified in Advanced Business Analytics from IIT Hyderabad and possess a base SAS certification.


Detail-oriented risk analysis professional with over three years of experience in data analytics and fraud prevention within the e-commerce sector. Proven track record in leveraging statistical analysis and business intelligence tools to enhance operational efficiency and mitigate risks. Expert in implementing fraud detection strategies that identify suspicious transactions and improve security measures. Currently pursuing a Master’s in Business Intelligence and Analytics to further strengthen capabilities in advanced analytics and predictive modeling.

Data-driven Analyst with 3+ years of experience in Risk Analytics, Business Intelligence, and Fraud Prevention. Skilled in data extraction, transformation, and visualization using SQL, Python (Pandas, NumPy, Scikit-learn), Power BI, and Tableau. Adept at identifying fraudulent transactions, developing data-driven insights, and optimizing business processes. Currently pursuing an M.S. in Business Intelligence and Analytics at Stevens Institute of Technology.

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Senior Data Scientist

Assistant Manager

Associate Consultant

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MBA - Marketing and Operations

B.Tech - Civil Engineering

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