VARSHITH JOGINIPALLY
Austin
Summary
Data Scientist with 3.5+ years of experience delivering analytics, data visualization, and operational insights across fast-paced, cross-functional environments. Strong expertise in Tableau, SQL, Python, statistics, and KPI development, with a proven ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders. Experienced partnering with business, operations, and leadership teams to measure initiatives, improve performance, identify growth opportunities, and drive measurable business impact.
Overview
6
6
years of professional experience
Work History
Data Scientist
S&P Global
Austin
08.2024 - Current
- Partnered with data scientists, business leaders, and operations stakeholders to design and enhance Tableau and Power BI dashboards, improving visibility into KPIs and driving 15%+ measurable business uplift.
- Served as analytics and visualization lead on cross-functional initiatives, translating complex analytical outputs into clear narratives and actionable insights for executives and non-technical audiences.
- Developed SQL- and Python-based analyses to diagnose performance bottlenecks, evaluate new initiatives, and size optimization opportunities across 10M+ records.
- Built and productionized predictive and time-series models, improving decision accuracy by 20–25% and reducing forecast error by 18%.
- Defined and tracked operational metrics and OKRs, enabling continuous performance monitoring in a rapidly scaling environment.
Data Scientist
Hindustan Computers Limited (HCL)
Telangana
05.2021 - 08.2022
- Developed supervised and unsupervised ML models for segmentation, recommendation, propensity, and risk analytics using Random Forest, CatBoost, LightGBM, clustering, and ensemble methods, improving targeting efficiency by 22% on 5M+ records.
- Designed and trained regression, classification, clustering, and deep learning models using Python, R, scikit-learn, TensorFlow, Keras, CNN, and LSTM, improving prediction accuracy and campaign conversion by 15-18%.
- Conducted EDA, anomaly detection, statistical testing, regression analysis, and feature selection using Pandas, NumPy, and statistical modeling, reducing data noise by 20% and increasing analytical reliability by 28%.
- Built time-series forecasting pipelines for demand and revenue planning, decreasing forecast variance by 19% and improving business planning accuracy by 16%.
- Engineered scalable ETL and data warehouse pipelines using SQL, Snowflake, MySQL, PostgreSQL, MongoDB, cutting reporting latency by 40% and optimizing query performance by 30%.
- Analyzed large datasets to identify trends and patterns for business insights.
- Created visualizations to effectively communicate data findings to stakeholders.
Data Scientist
iView Labs
Telangana
06.2020 - 04.2021
- Designed and trained regression, classification, clustering, and deep learning models using Python, R, scikit-learn, TensorFlow, Keras, CNN, and LSTM, improving prediction accuracy and campaign conversion by 15-18%.
- Applied statistical modeling, hypothesis testing, ANOVA, logistic regression, and outlier detection to enhance model robustness, increasing stability by 25% and reducing variance by 20%.
- Implemented big-data pipelines using Apache Spark (PySpark) and Hadoop to process 2TB+ datasets, accelerating feature engineering and training cycles by 50%.
- Delivered data visualizations, KPI dashboards, and data storytelling solutions, enabling faster stakeholder decision-making and improving analytics adoption by 35%.
Education
MS - Business Analytics
The University of Texas At Dallas
Richardson, TX05.2024
Technical Skills
Python, SQL, R, Bash, Supervised & Unsupervised Learning, Feature Engineering, Model Training & Evaluation, Ensemble Models (XGBoost, LightGBM, CatBoost), Time-Series Forecasting, Anomaly Detection, Recommendation Systems, Neural Networks, CNN, RNN, LSTM, Transformers, NLP, Sentiment Analysis, NER, Text Classification, Prompt Engineering, Retrieval-Augmented Generation (RAG), OpenAI APIs, Hugging Face, Embeddings, Vector Databases, Model Deployment, CI/CD Pipelines, ML Model Monitoring, Batch & Real-Time Pipelines, Experiment Tracking, ETL Pipelines, Apache Spark (PySpark), Hadoop, Data Warehousing, Snowflake, Tableau, Power BI, Plotly, Dash, KPI Dashboards, Data Storytelling, Git, GitHub, Linux, Jupyter Notebook
Timeline
Data Scientist
S&P Global
08.2024 - Current
Data Scientist
Hindustan Computers Limited (HCL)
05.2021 - 08.2022
Data Scientist
iView Labs
06.2020 - 04.2021
MS - Business Analytics
The University of Texas At Dallas