Shitij Arora
Senior Data Scientist
Bengaluru
Summary
Seasoned Data Scientist with a proven track record at UCBOS, enhancing computer vision, natural language processing, predictive analytics and operational efficiency by applying advanced statistical analysis and state of the art model development. Spearheaded innovative AI solutions, achieving a significant increase in the output. Excelled in leadership, guiding teams towards groundbreaking achievements with a keen focus on leveraging data for strategic insights.
Overview
7
7
years of professional experience
Work History
Senior Data Scientist
ITOrizon
Bangalore
09.2021 - Current
- Developed production-grade AI-assisted schema mapping system, integrating classical ML with selective LLM reasoning, ensuring high accuracy while maintaining controlled costs and incorporating human-in-the-loop validation.
- Developed a real-time facial recognition access control system for high-security manufacturing zones.
- Incorporated SHAP-based explanatory methods for TensorFlow, PySpark, and scikit-learn models to enrich model analytics.
- Integrated scikit-learn-driven predictive analytics models to elevate application capabilities.
- Integrated GPT-3 using LangChain and Transformers. Developed an automated conversational tool to streamline query resolution related to the UCBOS application.
- Developed and implemented a dynamic slotting solution to optimize warehouse storage, reducing storage and labor costs by 15%. Utilized SQL, Pandas, NumPy, and TensorFlow for the solution.
- Analyzed data from various sources to generate insights into customer behavior and segmentation.
- Integrated OCR within object detection to leverage the detections from the model, and using OCR to extract the text. Used this solution as a record generator, and multiple other solutions.
- Developed a solution for scheduler-driven training of the model with new input in the data, with planned and forecast quantities, which allowed the retail facilities to maintain a required stock for each week.
- Implemented regression and classification models using PySpark, achieving a 90%+ accuracy rate for predictive analytics. Applied these models to customer churn prediction, increasing retention by 25%.
- Developed LSTM models with TensorFlow for time series analysis, improving forecast accuracy by 20%. Provided solutions for lead time insights, enhancing supply chain efficiency.
- Designed SHAP-driven explainable AI models for neural networks and PySpark, enhancing interpretability by 30%. Helped clients understand predictions and feature importance, boosting decision-making efficiency.
- Applied ARIMA, ARIMAX, and Holt's Winter models for sales forecasting, enhancing accuracy to 92%. Used these models to optimize inventory levels, and reduce wastage by 18%.
- Developed in-memory dynamic object detection and image classification solutions with OpenCV, TensorFlow, and PyTorch. Implemented for retail shelf replenishment, increasing restocking efficiency by 25%, and for Pallet Detection and Count to verify damage.
- Utilized multiple survival analysis models to enhance cancer survival analysis, resulting in a 15% improvement in prediction accuracy.
- Achieved a 90% accuracy rate by applying BERT-based sentiment analysis to enhance customer feedback insights.
- Applied panel data modeling to corporate finance issues, improving financial forecasting precision.
- Supervised a team of four to handle project challenges and achieve alignment among stakeholders.
- Engineered AI/ML layer from the ground up, facilitating integration with ActiveMQ and MarkLogic database. Developed comprehensive Python code for the platform's PaaS functionality.
- Engineered REST interfaces to facilitate model executions and integrate custom coding processes using Flask for data management.
Data Scientist
Arthashastra Intelligence
New Delhi
03.2021 - 09.2021
- Analyzed target audiences using Random Forest, Decision Trees, and XGBoost, increasing campaign effectiveness.
- Developed time series models to forecast sales with LGBM, reducing inventory costs by 15%
- Built a movie recommendation system app using Flask and AWS EC2, improving user engagement
- Created a predictive model for house prices, achieving a 95% accuracy rate
- Utilized BERT and GPT-2 for advanced NLP models, enhancing topic clustering accuracy by 25%
Business Development Manager
Acer India
New Delhi
09.2018 - 04.2020
- Identified potential clients and established relationships
Education
Bachelor of Technology - Electronics & Communication
GGSIPU
Delhi12.2018
High School Diploma - undefined
DPS Rohini
Delhi04.2014
Skills
Python Development
Machine learning
Time series forecasting
Anomaly detection
LangChain/ LangGraph
LLMs
AgenticAI
Predictive analytics
SQL
PyTorch
TensorFlow
NumPy
SciPy
OpenAI
Pandas
PySpark
Transformers
AWS/ Aure
Interests
Football, Playing guitar, Hiking
Timeline
Senior Data Scientist
ITOrizon
09.2021 - Current
Data Scientist
Arthashastra Intelligence
03.2021 - 09.2021
Business Development Manager
Acer India
09.2018 - 04.2020
High School Diploma - undefined
DPS Rohini
Bachelor of Technology - Electronics & Communication
GGSIPU