PRATEEK SALIL SHEKHAR
Hyderabad
Summary
Accomplished Technical Product Owner with a robust track record of spearheading the development of customer-centric cloud-based banking applications. Skilled in seamlessly integrating diverse backend systems through APIs ,optimizing resource allocation, relationship-building, and project management to consistently achieve on-time project delivery.
Overview
3
3
years of professional experience
Work History
Product Owner
ICICI Bank
07.2022 - Current
- Product Owner of customer facing cloud-based sourcing application which helps in on boarding customer for various banking journeys like Savings Account, Personal Loan, Credit Cards, Home Loans etc.
- Analyzed BRDs and collaborated with engineering teams on technical feasibility assessments, resulting in realistic scope definition for projects.
- Managed development of product used to avail Saving Account, all loan products etc. for customers by integrating with more than 20 back ends via 50+ APIs by ensuring proper implementation of TLS protocol
- Led integration of Adobe Analytics to monitor user-behavior by tracking of inputs, CTAs, errors & abandonment
- Overseen & driven implementation of Adobe Target which helps in A/B testing & Multivariate testing across 8 different financial products
- Optimized resource allocation process, to reduce Task delay rate by 10 % and increased Utilization rate of every resource available
- Successfully resolved live and pre-production issues and provided RCA with minimal turnaround time, increasing on time project completion percentage from 60% to 80 %p
- Managed configuration of Dynatrace for monitoring KPIs and health of APIs which led to easy detection of failures, live issues and reduced manual efforts by 30%
- Worked with cross-functional stakeholders including 25 developers, business, Governance, PMO, API, Cloud, BTO and Information Security Groups utilizing tools like Confluence, Jira, Kanban for efficient tracking
- Managed BAU, security & compliance related activities like audits, Application Security Life Cycle, implementation of RBI's guidelines and rectification of application-level vulnerabilities
- Optimized System Architecture of cloud-based application by applying Load Balancing and Caching mechanisms which enhanced its performance, and maintainability
Software Development Intern
Veras Retail
05.2021 - 08.2021
- Developed robust Recommendation Engine as a software product catering to retail chain clients
- Selected and scored relevant features to transform explicit data into implicit, creating User-Item Rating Matrix
- Implemented Matrix Factorization using lightFM library, achieving accuracy of 88.3 percent precision at k
- Developed different back-end API services for different clients according to their demand using Django framework
- Used ELK stack to design entire architecture of Log Management System to pitch as product for retail chain clients across USA
- Used NLP using NLTK library to detect any current anomalies in logs and predicted future anomalies in Logs using KIBANA.
Education
M.Tech Dual Degree -
IIT Kharagpur
Kharagpur2022
AISSCE -
D.A.V Public School
New Panvel2017
AISSE -
D.A.V PUBLIC SCHOOL
New Panvel2015
Skills
- Skills: Agile Method, Kanban, Pipeline Management, Release planning, Product Life cycle management
- Software & Platforms: Power BI, Google Cloud, Tableau, JIRA, Postman, Visual Studio, ELK, Excel
- Programming Languages: C, C, SQL, Python, HTML, CSS
- Libraries and Frameworks: TensorFlow, Pandas, OpenCV, Keras, Scikit-learn, NLTK, Angular, Django
Projects
Winner — Search Engine for Legal Documents — IIT Kharagpur
• Developed an advanced NLP-based search engine for legal documents to enhance information retrieval and analysis.
• Implemented Okapi BM25 for enhanced search result relevance and Awarded Gold in General Championship.
Forecasting Electricity Demand — Inter Hall Data Analytics — IIT Kharagpur
• Predicted electricity demand Delhi using time-series data, advanced machine learning models.
• Engineered new binary features, eg. Season, holidays etc. to capture patterns and enhance model performance.
• Implemented an ensemble model combining Random Forest Regression, XGBoost, LightGBM, and Support Vector
Regression (SVR) to leverage the strengths of multiple algorithms.
Timeline
Product Owner
ICICI Bank
07.2022 - Current
Software Development Intern
Veras Retail
05.2021 - 08.2021
M.Tech Dual Degree -
IIT Kharagpur
AISSCE -
D.A.V Public School
AISSE -
D.A.V PUBLIC SCHOOL
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