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Amazon Q Builder | Generative AI | AI -Driven Decision Support | Python, SQL & AWS Quick | Business Analytics & Economics
As a Cloud AI & Data Solutions Engineer at Cloudwick, I lead large-scale transformations for enterprises and high-growth companies. I drive strategic AI and ML initiatives, securing business growth and optimizing workflows. I spearhead data system modernization efforts, achieving exponential productivity gains and cost efficiencies. I also developed proof-of-concept solutions to enhance KPI analysis and operational decision-making across industries. Additionally, I designed AI-powered workflow automations and advanced RAG based solutions for streamlining operational intelligence. I have a Master's degree in Business Analytics from the University of California, San Diego - The Rady School of Management, and a Bachelor Of Engineering and Masters of Science Degree in Electrical and Electronics Engineering, Economics from Birla Institute of Technology and Science. I am also an AWS Certified Data Analytics Specialist and a Machine Learning Specialist.
University of California, San Diego - Rady School of Management
Master's degree, Business Analytics
January 1, 2016 – January 1, 2017
Birla Institute of Technology and Science, Pilani
Bachelor Of Engineering Degree And Masters of Science Degree, Electrical and Electronics Engineering, Economics
January 1, 2008 – January 1, 2013
Kendriya Vidyalaya
Science
January 1, 2000 – January 1, 2008
Amazon Web Services (AWS)
Amazon Q CST Builder | Gen AI Innovation
August 1, 2025 – Present
Mountain View, CA · On-site
Cloudwick
Cloud AI & Data Solutions Architect
February 1, 2020 – December 1, 2024
Newark, California, United States · Hybrid
Cloudwick
ML Engineer
February 1, 2018 – February 1, 2020
Newark, California, United States · Hybrid
Micron Technology
Business Analytics Engineer Intern
June 1, 2017 – September 1, 2017
Folsom, California
Cisco
Data Science Capstone - Rady School of Management
April 1, 2017 – June 1, 2017
San Diego California
Rady School of Management
Teaching Assistant
September 1, 2016 – December 1, 2016
Greater San Diego Area
G-Square Solutions Pvt Ltd
Fintech Technical Analyst / Statistican and R Programmer
January 1, 2015 – May 1, 2016
Mumbai Area, India
Findable Startup
Software Engineer
August 1, 2013 – July 1, 2014
Mumbai Area, India
Enterpriseforce (Rapidminer 5)
Intern
July 1, 2012 – December 1, 2012
Mumbai
Grasim Chemicals
Intern
June 1, 2011 – July 1, 2011
Nagda Area, India
Supply Chain Analytics
March 1, 2017 – Present
Analyzed the sales, stocks and profit related MoM data available for one of the biggest international retail company. This was done as per the effective supply chain management and trend forecasting principles. The end result was a well-delivered presentation to an audiance of 40 analytics professional students.
Customer Acquisition - Lifetime Value Analysis
January 1, 2017 – Present
Calculated the lifetime value of a feature of a new product by comparing with the LTV of the product without the feature.
Customer Development Analytics
January 1, 2017 – March 1, 2017
§ Offer Response Analysis using RFM: Performed profitability analysis of deal offers as per ther RFM (Recency, Frequency and Monetary Value) analysis. Used both independent and sequential approach. § Campaign Response Analysis using Logistic Regression: Predict the response rate of a new offering to 500,000 customers with data available from a sample of 50,000 to which the initial survey was sent. The result was profit and return on marketing expenditure on mailing to remaining 500,000 customers with the model based approach. § Upsell Campaign Response Analysis: Predicting the response rate for a feature upgrade or an upsell campaign of an existing product using various models like Naïve Bayes, Logistic Regression, RFM Analysis and Neural Network. Final model selection was done on the basis of Gain Charts (overfitting), Lift Charts, AUC Curves, Profit and ROME calculations. § Next Product To Buy Model – Cross Sell Response Analysis: Improve the effectiveness of a cross selling campaign by inferring the message that is expected to yield the highest probability of purchase and expected profits based on a logistic regression model tuned with the performance of a Neural Network model.
Customer Retention Analytics
January 1, 2017 – March 1, 2017
Proactive churn management response model: Predict customer churn using training data and perform model selction using validation data. Use model output to understand main drivers of churn, develop actions/offers/incentive to target to which customers and evaluate the economics of offering the action/offers/incentive based on LTV calculations.
Data Engineering and BI Dashboarding
November 1, 2015 – April 1, 2016
Involved in the data engineering solutions provided to an online payment company based out of India. Responsibilities included: 1. Streamlined the ETL process and automated the process of obtaining data from diverse data source using Python scripting and Aerospike DB on the back end. Engineered solutions to merge data from diverse data sources using Python scripting and Tableau reporting on the consolidated data set. Data was extracted from various data sources like NoSQL databases and Postman API's and converted into structured format. The extracted data was stored in SQL databases and BI dash-boarding was developed on the structured data. 2. Delivered a near real time executive dashboarding solution for clients business analytics team using Tableau BI
NPTB(Next Product to Buy Model): Assisted in the development of Propensity Modelling
September 1, 2015 – October 1, 2015
Assisted in designing and developing machine learning algorithm - logistic regression models to predict the propensity of customers to buy insurance products of an Indian New Generation Bank
Product Development
August 1, 2015 – May 1, 2016
Big Data Storytelling for enterprise: Ope-rationalize data story telling based out of insights generated from the transactional data of an online payment bank company in R. The product was based on an emerging concept of Narrative Science, with the goal of providing a skeleton for generation of data driven documents on a large scale. Responsibilities: 1. Prototyped the concept of an automatic insight generation model in R and later assisted in developing Narrator product based on the same concept in Python. 2. Conceptualized, designed and developed Salesrator Business Intelligence application from scratch: a reporting and analytics tool for the sales force for mutual fund industry.
Channel Segmentation - Sales analytics
April 1, 2015 – May 1, 2016
Designed and developed channel segmentation algorithm in R for providing effective sales target for the workforce of a client in financial distribution domain. Model resulted in 34% pick up of sales. Responsibilities: 1. Understand requirement related to sales target across various product groups/verticals and the dataset related to it. 2. Data Munging to filter out unnecessary data/noise and extract relevant/calculated features. 3. Model building according to requirement using statistical packages in R.
Business Process Automation
January 1, 2015 – April 1, 2015
To capture the underwriting standards information at the time of sanction and renewal for monitoring portfolio and validation for a India's fastest growing scheduled commercial banks, using IBM BPM Websphere Lombardi V8.5.5.Also assisted the project manager for development of Unhedged Foreign Currency Exposure model in IBM BPM Websphere Lombardi V8.5. Responsibilities: 1. Coordinating with the business team to understand their requirement 2. Work flow development from UI design, database design to IBM BPM development and coordinating with the release team for deployment of the applications. 3. Understanding the banks requirement across their Risk vertical and consolidate their requirement in a business requirement document for the development team.
Website Development
January 1, 2015 – February 1, 2015
Website development from scratch using wordpress and bootstrap
Final Year Thesis:Analysis of FDI in Retail Sector: A case of India and China
January 1, 2013 – May 1, 2013
Guide: Dr. P.Lalitha (Assistant Professor in Economics Department) Thesis involves studying the impact of FDI in retail sector on various countries. An econometric analysis was performed on secondary data for China along with studying the demographic similarities of India and China over the years
Data Mining, Directional Analysis and Supply Chain Cost Analysis
July 1, 2012 – December 1, 2012
Data Mining, Directional Analysis and Supply Chain Cost Analysis - Literature Survey of five open source data mining tool: Rapidminer 5, Weka, Carrot 2, R and Orange -Applied data mining in logistics sector -Performed clustering and correlation analysis on freight transportation data with Rapidminer 5 -Analysed effectiveness of supply chain cost of 250 companies -Performed directional imbalance analysis of freight transportation for 5 countries
Analysis of Investment Model Using Data Mining Tools
August 1, 2011 – December 1, 2011
Guide:Dr. Aruna Malapati (Assistant Professor in Computer Science Department) Performed economic analysis of a basket of countries using WEKA data mining tool
Study of International Trade of India Post-Liberalization Era
January 1, 2011 – May 1, 2011
Guide: Dr. P. Lalitha (Assistant professor in Economics Department) Analyzed trade post liberalization and related it to various trade theories using trade indexes.
Oxford Blockchain Strategy Programme
Saïd Business School, University of Oxford
June 24, 2026 – Present
AWS Certified Machine Learning Speciality
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Data Analytics Speciality
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from customer analytics to supply chain and fintech, demonstrates adaptability and a broad interest in applying data science across various domains. Experience in both startup environments (Findable Startup, G-Square Solutions) and large corporations (AWS, Cloudwick, Micron, Cisco) suggests an ability to thrive in different organizational cultures. The academic background with a Master's in Business Analytics further reinforces a strong foundation for data-driven decision-making and continuous learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities, a structured approach to data analysis, and experience in coordinating with business teams to understand requirements. Roles at Cloudwick and Cisco highlight leadership in strategic initiatives and cross-functional collaboration. The teaching assistant role suggests communication and mentoring skills. The detailed project descriptions, especially for 'Product Development' and 'Business Process Automation', show an ability to take ownership and drive projects from conceptualization to deployment.