Nikhil Pandey

@nikhilpandey

Senior Executive Data Science at TVS-Electronics

Pune, Maharashtra

TVS-ElectronicsAmravati University

Nikhil Pandey is a Data Scientist with 3.6 years of experience, proficient in Core Python, Machine Learning, and Deep Learning. He possesses strong skills in NLP (BERT, LLMs), data visualization using Power-BI and Tableau, and cloud deployment on Azure. His experience includes developing predictive models for sales forecasting and building sophisticated Q&A systems.

Experience

Senior Executive Data Science

TVS-Electronics

Full-time•Jan 2022 - Present•Pune, Maharashtra

Developed models for Part Prediction (forecasting sales for inventory management) and Auto-Allocation of Engineers (matching engineers to service needs based on location, skills, and availability). Also involved in developing sophisticated Question-Answering models using BERT and RoBERTa for text data analysis.

Data Scientist

Crunkwave Solutions Private Limited

Full-time•Oct 2019 - Jan 2022•Pune, Maharashtra

Built a clinical document summarizer using BERT model to help clinical staff optimally collect, distill, and interpret patient information.

Education

Amravati University

Computer Science

Jan 2016 - Jan 2019•Grade: 62%

Pusad

Diploma

Computer

Jan 2013 - Jan 2016•Grade: 70%

Skills

Python (Data Analysis, Machine Learning, Deep Learning)

Data Pre-processing and Exploratory Data Analysis

Data Visualization (POWER-BI, Tableau)

Regularization Techniques (Lasso, Ridge)

Predictive Algorithms (Regression, KNN, Decision Trees)

Clustering Algorithms (k-means)

API Development (Flask)

Text Processing (NLTK)

Probability and Statistics

Bayesian methods

Time Series analysis

ANN, RNN, LSTM

Data Management (Non-Relational and SQL databases)

NLP (BERT, Hugging Face, LLMs, encoder-decoder, seq-seq models)

OpenAI, Langchain, Xturing

Version Control (Git, GitHub)

Sales and demand forecasting

Customer behaviour analysis

Customer churn

Sales and Spend optimization

PANDAS, NUMPY, SEABORN, SKLEARN, KERAS

RDBMS (MySQL, MongoDB, Document DB, MSSQL)

Azure, Azure-ML