Nihar Penchala — Data Scientist

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.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions for SaaS applications.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 7 mos