Paramjit Wahengbam Email & Phone Number

Orlando, Fl, Us

Orlando, Florida, United States

 Manage the processes, client concerns & escalations, drive productivity and utilization. Explore and capitalize on opportunities with existing & new clients within the account. Constant innovation and creating new solutions/accelerators/POVs which maps to the marketplace requirements. Lead Business development – reaching out to perspective client, problem scoping, recommending solution and creating approach frameworkBeacon (Data Migration to Snowflake):Migration of legacy data pipelines to a Snowflake-based platform using AWS. 15 data sources (9 DMS, 3 Event type, 3 File Type)DBT Models and snowpipe bring the data into medallion layers in Snowflake. Established Data contracts and structured data into Landing, Bronze, and Silver zones to improve data quality and support business analysis.Bruno (Invision Replacement Project):Lead data migration to replace Invision with Adaptive for managing contract, licensee, forecast, and guarantee data. Built a data pipeline from Oracle to AWS S3 using AWS Glue and from Adaptive to S3 via Globalscape. Loaded data into Snowflake for multi-layer ETL processing (source raw, raw historical, syndicated, curated). - Invision Excel Reports to MicroStrategy Reports - Use MSTR Developer to Load data from Snowflake - Create Attributes, Facts & Matrices - Build Finacial reports - Longsheet Reports - Proposed Accruable Reports - Non-Accruable Reports - Guarantee Shortfall Reports

Bengaluru, Karnataka, India

Lead a team of 9 which includes Data Engineers, Data Scientist & UI Developers and helped clients with data driven solutions using machine learning techniques, big data and AWS services.Responsible for bringing leading industry best practices into product, reporting and analytics design solutions.Collaborates in the development and evolution of the project management structure for the Data Science and Analytics' teams. Accountability on the overall health of the accounts - timeliness, quality, customer feedbackCreates and maintains capacity plans. Plans and communicates program and deliverable timelines.Organizes and facilitates daily stand-up meetings, reviews, work estimation, project retrospectives and release planning, demos etc.Create compelling presentations that provide actionable insights and recommendations.Resource Recommendation Engine: Served as Product Manager and Scrum Master to create a tool supporting account growth, finance, and operations. This engine monitors project pipelines, identifies revenue leakage (e.g., resource shortages or delayed sign-offs), and recommends suitable team members, optimizing revenue and resource allocation.NPS (Net Promoter Score)The project aims to calculate the Net Promoter Score (NPS) based on customer feedback to enhance the overall customer experience. The tool automates the scheduling and sending feedback forms to customers, tracks responses, and sends reminders when necessary. By leveraging NLP and sentiment analysis, the system validates customer feedback and calculates NPS scores at both the account and organization levels, factoring in technical capabilities, deliverable quality, and customer comments. Account managers are then informed of the NPS scores to take appropriate actions for improvement.Technology Used: Angular 14, jQuery, PostgreSQL, Python, AWS EC2, Flask

 Managing a team of 5+ data engineers & data scientist. Involved in end to end delivery execution, requirement gathering and delivery Working with the customer experience team of world leading theme park & resort company to increase the customer experience by using Machine learning models to predict extra service orders and placing the same in the rooms (before the customer asked for it) and diverting crowds from park rides where the wait time is very high to another popular rides where the ride time is low Optimizing Guest Experience through Predictive Modeling and Crowd ManagementPark Crowd Diversion: Developed an ensemble model to manage peak-hour crowds in a theme park by identifying rides with high wait times and predicting guests’ likelihood of choosing specific rides. Deployed on AWS Redis, the model powers a guest notification system recommending less crowded times, helping balance park traffic and enhance guest satisfaction.PDP 1 to PDP 2 Migration (Hadoop to AWS Cloud): Spearheaded the migration of 16 applications from Hadoop to AWS, building a framework for data ingestion, processing, and storage across multiple layers. Successfully integrated data into Snowflake, creating curated tables per client needs. Technologies used include AWS EC2, Lambda, Glue, S3, NiFi, Snowflake, and PySpark.

Bengaluru Area, India

 Managing a team of 4 data scientist. Involved in end to end delivery execution, requirement gathering and delivery Lead Business development – reaching out to perspective client, problem scoping, recommending solution and creating approach frameworkAutomatic Room Allocation ProjectDeveloped a room allocation optimization model for a global theme park and resort company, enhancing revenue by maximizing room occupancy and minimizing lockouts. Built master data integrating room and reservation details using Apache NiFi, Teradata, and MySQL. Leveraged Linear Integer Programming with Python’s PuLP library to assign rooms based on key business rules like stay duration and vacancy periods.Service Order Prediction: Built predictive models to customize room service orders before guest check-in at a resort. Leveraging Teradata and AWS Lambda, the models forecast demand for items like towels and toiletries across various service categories, ensuring personalized room preparation and an elevated guest experience.

Bangalore

Data-Driven Solutions for Mileage Verification, Price Benchmarking, and Sales Pipeline ManagementMileage Cheat Analysis: Developed an algorithm to detect inflated mileage claims for a major SaaS travel firm by calculating actual travel distances using the Google Distance Matrix API. The model flags suspicious claims by comparing reported versus actual distances, aiding in compliance and cost control.Price to Beat (PTB) Analysis: Measured the impact of PTB in client booking portals by extracting GA data from Hadoop, parsing and analyzing airline/hotel booking costs against PTB values using Hive, and visualizing insights in Tableau.Sales Pipeline Dashboard: Built a dynamic Tableau dashboard using Salesforce data to monitor sales activity, targets, and pipeline performance. Published on Tableau Server with role-specific access, the dashboard helps management identify conversion bottlenecks and optimize regional sales strategies.Each project leverages tools like Python, Pig, Hive, and Tableau to deliver actionable insights, optimize decision-making, and enhance operational efficiency.

Bangalore

My role is to pull data from Hadoop cluster for analyses and provide business solution on time with quality using Hadoop (HIVE, PIG, Python),SQL, Excel, Tableaumy other role includes :• analyzing the expense and travel data to identify key indicators performance and opportunities• develop the Expense Index from their travel & expenditure data• develop the analogy to cluster the whole population as per their behavior that can distinguish them demographically• build models to predict destination of travel for customers based on their past travel historyDestination Recommendation Model: Created a recommendation engine analyzing users' historical travel patterns and peer behavior to predict top destinations for the next 5 months. The model provides personalized origin-destination pairs, vendor recommendations, and confidence scores by clustering users based on travel frequency and spending. Simulations with weighted probabilities and variance minimization further improve prediction accuracy.Alcohol Recognition & Expense Benchmarking: Built an algorithm to identify alcohol items on receipts and assign benchmark limits for hotel expenses by region. By using keyword extraction, the system classifies receipts as "alcoholic" or "non-alcoholic" and applies region-based spending thresholds, reducing compliance issues and simplifying expense submissions.Automated Receipt Line Item Extraction: Developed a Python-based service to automate auditing by extracting detailed line items from receipt images, categorizing expenses, taxes, and other items. Integrated Tableau dashboards to visualize accuracy, improving compliance checks and minimizing manual verification.

Bengaluru Area, India