Sumit Kumar Dash — Product Manager

With 7.5+ years of experience as a Data Scientist, I specialize in Natural Language Processing, Generative AI, Machine Learning, Time Series Analysis, Anomaly Detection, and Statistical Modeling. I am passionate about leveraging data science to drive innovation and efficiency across various domains, consistently delivering high-impact solutions. 𝐌𝐲 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬: 𝗖𝗹𝗼𝘂𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Expert in deploying models using AWS & Azure cloud services, leveraging APIs, and building scalable, ready-to-use cloud-based products. 𝗠𝗟𝗢𝗽𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Implementing robust MLOps pipelines to streamline the deployment and monitoring of machine learning models. 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Developing engineering solutions and platforms tailored to specific models and products, ensuring seamless integration and high performance. 𝗗𝗼𝗺𝗮𝗶𝗻 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Extensive experience in Healthcare, Aerospace, and Manufacturing industries, understanding unique challenges and delivering customized solutions. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Proficient in both SQL and NoSQL databases, ensuring efficient data storage, retrieval, and management. 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝑨𝑰: Large Language Models Vision Language Models RAG (Basic & Advanced) Supervised Fine Tuning (FFT & PEFT including Quantization) RLHF 𝑺𝒖𝒑𝒆𝒓𝒗𝒊𝒔𝒆𝒅 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈: Linear & Logistic Regression Classification SVM, KNN, Decision Trees Naïve Bayes Ensemble Models (Random Forest, Gradient Boosting, AdaBoost, XGBoost) 𝑼𝒏𝒔𝒖𝒑𝒆𝒓𝒗𝒊𝒔𝒆𝒅 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈: Clustering (Hierarchical, K-means) Association (Apriori, FP Growth) Anomaly Detection PCA, SVD, GMM, Isolation Forest 𝑻𝒆𝒙𝒕 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔: Data Collection, OCR Data Imputation, Tokenization Vector-Space Modeling, NLP Text Summarization, Sentiment Analysis Q&A, Topic Modeling, Language Translation Text Classification, Text Generation 𝑭𝒐𝒓𝒆𝒄𝒂𝒔𝒕 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔: Time Series (ARIMA, Lag Analysis, Smoothing, Prophet, VARMA, Darts) Prediction Models (Regression, KNN, Regression Tree, Neural Nets, Ensemble) Classification Models (Logistic, KNN, Naïve Bayes, Neural Nets) 𝑺𝒊𝒎𝒖𝒍𝒂𝒕𝒊𝒐𝒏: Monte Carlo Simulation Simulating applications with various distributions (Normal, Binomial, Exponential, Uniform, Bernoulli) 𝑺𝒕𝒂𝒕𝒊𝒔𝒕𝒊𝒄𝒔: Probabilities, Distributions Hypothesis Testing Regression (Linear, Logistic) 𝑹𝒆𝒄𝒐𝒎𝒎𝒆𝒏𝒅𝒂𝒕𝒊𝒐𝒏 𝑺𝒚𝒔𝒕𝒆𝒎𝒔: Collaborative Filtering Content-Based Filtering

Stackforce AI infers this person is a Data Science expert specializing in Generative AI and Machine Learning for diverse industries.

Location: Hyderabad, Telangana, India

Experience: 7 yrs 8 mos