• PREDICTING CUSTOMER CHURN: Worked on business practices customer churn rate prediction using Python, concluding Higher churn

Rates For Month on Month customers as compared to one- or two-Year customers. Developed Churn model for Telecom sector using Random

forest to provide specific conditions in which customers have left the company. This enabled the client to target current customers who satisfy those

conditions And thus, reducing churn significantly.

• HOUSING MARKET PRICE PREDICTION: Compare the model performance among (i) LASSO, (ii) random forests regression, (iii)

XGBoost, and (iv) stacking (v) Kernel Ridge regression, to predict House Prices, the goal of this competition is to predict the price of residential homes in Ames, Iowa using the provided 79 explanatory variables. This one is a regression problem, with XGBoost + Lasso giving better prediction results.

• AUTOMOTIVE FAULT DETECTION & ANALYSIS using Machine Learning, NLTK Natural Language Tool Kit, using word tokenization, stemmed word, Lemmatize word. Inputting CSV Data to TABLEAU to generate Cluster Analysis Report.
• Team Lead for 12 to 15 engineers for above mentioned major projects Fault Detection & Analysis, HOUSING MARKET PRICE PREDICTION,

& ALGORATHIMS.

• Used TABLEAU to create Dashboard report, Cluster & Time Series Analysis, on CSV input Data files.

• Currently working on Image Parsing, Text Image Generator, Neural networks, Mask RCNN, pooling/network layers conceptual project.

ALCATEL LUCENT MANAGED SOLUTIONS PVT LTD, Mumbai, MH, India Role – Business Analyst

• Documented all business processes and operating procedures from scratch for an early-stage startup
• Developing cellular network solutions based on the customer’s growth plans, capacity constraints, new features and technologies.
• Responsible for gaining the skills to ensure the technical content on cellular network projects by analyzing the customer’s requirements
• Worked as a member of RF Engineering team and applying collaborative technical knowledge to issues related to the development of the RF Network Design and Optimization.
• Worked on EVDO Project Launch
• Worked on Optimization of HSD (High Speed Data), SPO Tool, R 30 Document, and TTI Nettrac Portal, Alarm monitoring
• Continuously monitored and evaluated processes to find areas of improvement, significantly improving the client experience by 32% by advising

resource allocation to one-on-one health monitoring

• Interchanged between IT and business contacts to manage project lifecycle, and ensured team achieved 96% of deadlines by

communicating realistic expectations, Researched and presented to stakeholders, obtaining approvals for requirements and changes