Jayant Malhotra Email & Phone Number

United States

New York, NY, US

Champaign, IL, US

• Conducted interactive office hours for 100+ graduate students, providing guidance on Big Data Analytics ( SQL, NoSQL, Python, Pyspark) and Cloud Computing ( GCP, AWS ( EC2, S3, Lambda, RDS ))
• Led interactive lab sessions to showcase implementation of end-to-end ML pipeline and model deployment on AWS

Loveland, Colorado, US

• Created Labels and Predictive features to flag Anomalies, Outlier and Data Drift in Time Series Data.
• Automated Data Extraction and Pre-processing of ANISE probes (water sensor) data from Azure ADX Database.
• Due to no prior labeled data, collaborated with Domain experts to generate heuristic & statistical rules to create labels, which served as Ground Truth for validating predictive models.
• Built an LSTM model, surpassing the pre-existing model's accuracy by 25%, achieving a final accuracy of 85%
• Collaborated with the Product team to modify sensors to get vital data to create more accurate predictive models.

New York, NY, US

• Achieved 100% of decommissioning of data due to India Data Localization: Reserve Bank of India new data policy. Aided lifting up the ban on Amex and potentially retaining 10,000+ customers/month.
• Evaluated existing platform capabilities, enhancements and enablement of new tools required for completion of Indian Data Localization and migration from Legacy Server to Big Data server.
• Worked with the Infrastructure Team to understand storage and data requirements and collaborated with Product Manager to reduce storage on Teradata Servers.
• Collaborate with Data Owner, Data Steward, and Business Team for Data Ingestion of tables not present in Big Data platform.
• Core member of EDP FUN INDIA TEAM: Organizes bi-weekly virtual games and fun events to connect all 200+ EDP colleagues in the virtual environment.

New York, NY, US

• Created DataMatics: A tool to get exhaustive data comparison between 2 tables across same/different servers.
• Created automated scripts to load data in Hive tables from various source files and databases.
• Accomplished Risk Assessment of a SAS/Linux based platform and collaborated with Technology and Operation team during this project.

Munich, DE

• Built ML model to predict customers buying products via Omnichannel (shopping via multiple platforms).
• Performed Exploratory Data Analysis, Feature Engineering and applied different ML Models like Logistic Regression, Decision Tree, Random Forest and XGBoost.
• Implemented customer segmentation and predicted potential locations to set up new stores to streamline Omnichannel process.
• Presented the customer segmentation model to the client's business strategy team and helped move that into their business growth planning cycle.

TheZquotes:-A community for fulfilling Managing and Marketing and Technical aspects for other start-ups, also providing them with a platform to interchange experience.I worked in developing management front, Whenever we have a Startup on board who need our assistance. I reach to them online or offline which ever is convenient and after understanding their.

Masters, Statistics

Bachelor Of Technology - Btech, Computer Science