About

Himanshu Singh is a Lead Data Scientist with 7.5 years of experience in financial/insurance, cyber security, and telecom related data. He is skilled in machine and deep learning, modeling, and prediction with the help of AI. Currently, he is working on challenging projects in data science and analytics at Genpact, where he has been leading projects in the financial and insurance domain. Himanshu's expertise includes statistics, algebra, ML/DL modeling, and prediction. He is proficient in Python (data frames - Pandas, Numpy, Scikit-learn, Seaborn, and Matplotlib), machine learning (regression, classification, linear regression, logistic regression, decision tree, SVM, KNN, K-Means, and random forest), and deep learning ANN, DNN, feed-forward neural network with backpropagation, frameworks (Tensorflow & Keras), Jupyter Notebook, time series forecasting (exponential smoothing, double exponential smoothing, ARIMA, etc.), R-programming, and data processing tools like DataIKU and Natural Language Processing (RNN, LSTM). He also has experience in computer vision CNN with OpenCV and big data technologies such as Hadoop, Kafka, Pyspark, and Hive, and has worked on several live projects and databases like MySQL, Teradata, and Hive. Apart from his technical skills, Himanshu has management skills in project scheduling, strategic planning and analysis, and business development. He has previously worked as a Technical Lead in Advanced Analytics at Comviva, where he led projects on MobiLytix, a big data-driven mobile analytics solution that generates actionable customer insights. He also worked as a Data Science Engineer II at System Soft Technologies, where he developed real-time/near real-time fraud detection and prevention in cloud-based data (big data) for Elysium analytics (a cybersecurity). Himanshu holds an M.Tech in Computer Science from the University of Hyderabad and a B.Tech in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh. He also completed his 12th and 10th from the Board of High School and Intermediate Education Uttar Pradesh, with a science side (maths, physics, and chemistry) and computers, respectively. His tech stack includes data science, research science, deep learning, NLP, Python, ML, Jupyter, SVM, random forest, computer vision, big