Nihar Penchala

About Nihar Penchala

As a results-driven Data Scientist with 4+ years of hands-on experience, I specialize in building scalable machine learning solutions, deep learning models, and intelligent data pipelines that drive business impact. I bring expertise in predictive modeling, NLP, computer vision, and Generative AI (LLMs & RAG), with a strong foundation in statistical analysis and data engineering. Skilled in transforming raw data into actionable insights, I collaborate cross-functionally to deliver high-performance, production-ready ML systems. Passionate about leveraging the latest in AI to solve real-world problems, I thrive in fast-paced, innovation-driven environments.Skills and Expertise:Machine Learning & Deep Learning- Supervised & Unsupervised Learning: Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, Clustering (KMeans, DBSCAN), PCA- Deep Learning: CNNs, RNNs, LSTMs, Transformers for vision, time series, and language applications- NLP & Generative AI: BERT, Topic Modeling, Text Classification, NER, Prompt Engineering, RAG, LLMs (OpenAI, LLaMA)Data Engineering and Analysis- Exploratory Data Analysis (EDA): Capable of comprehensive data exploration to uncover patterns, spot anomalies, and derive meaningful insights- Data Handling: Expertise in outlier detection, missing value treatment, and feature engineering to ensure robust data quality and integrity.Programming and Tools- Programming Languages: Advanced proficiency in Python, using libraries like SciPy, Sci-kit learn, Pandas, NumPy, Matplotlib, Imblearn, TensorFlow, and PyTorch for data manipulation, analysis, and model building- Data Visualization: Experienced in creating insightful visualizations using Matplotlib, Pandas, NumPy, Tableau, and Plotly to effectively communicate data findings.Databases and Cloud Computing- Database Management: Proficient in MySQL, including creating and managing tables, views, procedures, nested queries, and joins to streamline data operations- Cloud Computing (AWS): Experienced with AWS, including S3 for data storage, EC2 for computing, and Lambda for serverless functions, ensuring scalable and efficient data solutions.Statistical Analysis and Reinforcement Learning- Business Statistics: Conducting univariate and bivariate testing of survey data using Python to derive actionable business insights- Reinforcement Learning: Applying reinforcement learning algorithms to address real-world challenges and optimize decision-making processes.

Experience

1. Genai Engineer

   Accenture

   Feb 2026 — Present · Hyderabad, IN

Education

• Bharath Institute of Higher Education and Research

  Bachelor of Technology - BTech, Computer Science and Engineering

• Great Lakes Institute of Management

  Post Graduate Diploma, Data Science and Engineering

  2021