Leading and building a wide variety Gen Ai, LLM based applications across BFSI & Tax, Legal compliances . From in house private LLM to power multiple Ai Agents to simple Ai Dashboards with Machine learning and business insights

building the next age solutions for Credit risk modelling with RPA automation and Models on Salaried / Non Salaried and self employed individuals risk model with Most accurate and innovative solution to reduce Turn around time TAT.Creating Short, Mid & Long-term roadmap for Business Intelligence and supporting business growth. To achieve successful execution with ownership, effective communication and negotiations with internal / external stakeholders. Leading & creating Operations MIS, Ops Analytics, Marketing Analytics, Financial Analytics, Sales Analytics, HR Analytics, Stock market analytics and Retail Analytics, Banking Analytics to drive Growth. • Driving business growth and delivering Insights by Gathering data from various cross functional Stakeholders to deliver impactful, accurate and highly useable Dashboards and Reports for Senior CxO, Leadership on a Daily / Weekly / Monthly basis. • Managing the architecture and design of solutions and database management from all core sources to be GATE Keepers of Data and Analysis. Also driving New Initiatives on BI & Analytics. Leading a TEAM of 7 data scientist, data analyst, MIS officers and front-end developers.

Right now Working on New Prediction models for People Analytics, Retail Analytics. with Covid-19 Impact on the world. Using NLP to bring forth new data points in existing records. Using Deep learning to render Auto learning mechanism of ML Models.Leading the industry with Innovation in People / HR analytics on some of the biggest clients with 100k plus FTE and PTE to create an innovative solution towards Talent Demand forecasting, Recruitment Funnel and Attrition analytics.

Data Scientist | NLP | Machine Learning | PySpark | Python, R | AWS - amazon | Hadoop. Working on Risk Model to predict the stock movement with Risk analysis on a Global, Regional, Multi-currency levels. The Risk model is used to measure the overall risk associated with a security relative to the market. Plus it gives an overall risk associated with the entire portfolio. Using Neural networks for Time Series analysis: RNN with LSTM on Keras with tensorflow backend. Created our Own NLP with the BERT to study & predict stock movement with custom News Api's

DATA SCIENCE with R, SAS, Python• Data Analysis – Univariate, Bivariate, Multi-variate, Linearity of a model.• Data auditing, preparation. Cleansing / missing values of the dataset with data manupilation• Hands on experience of Supervised & Unsupervised Machine learning techniques. Like.• Regression models, Clustering Models, Prediction Models, Classification• Categorical models, Time Series, Artificial Neural Networks & SVM models• Strong working knowledge of R / Python scientific stack (NumPy, SciPy, scikit-learn, pandas) for data wrangling, data analysis & modeling• Data Science with ML techniques using R, Python, SASDATA ENGINEERING• Apache Hadoop, HiveQL, Cloudera CDH4, Shell scripting, Java.• Implementation, Integration and testing of Application Software in web-based environments, • Extensive experience as a Hadoop Developer and in Java Mapreduce application development.• Experience in installation, configuration, supporting and managing Hadoop Clusters using Apache and Cloudera (CDH3, CDH4) distributions.• Hive - data warehouse tool - creating tables, data distribution by implementing partitioning and bucketing, writing and optimizing the HiveQL queries. Improving performance by partitioning & bucketing, compressing into orc file formats• Experience with Backend Databases like Oracle, MS SQL Server, MySQL • Shell scripting Good knowledge in Linux shell scripting or shell commands. >BashRC scripting commands• Data ingestion with Sqoop – importing from RDBMs into HDFS• Data ingestion with Flume – web logs from multiple servers & social sites like amazon, FB into HDFS, Hbase. • Cloudera HUE(Oozie) work flow scheduler via Sqoop – Hive – Pig UDF(date formats) into HDFS.