Atul .

Product Manager

Hyderabad, Telangana, India3 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

3+ years in banking and financial systems.
Expert in technical product management and data science.
Proven track record in improving system reliability.

Stackforce AI infers this person is a Fintech professional with strong expertise in technical product management and data science.

Contact

Skills

Core Skills

Technical Product ManagementProject ManagementData Science

Other Skills

Agile MethodologiesAlgorithmsAnalytical SkillsApache KafkaArtificial Intelligence (AI)Budgeting & ForecastingC (Programming Language)Critical ThinkingData AnalysisData PreprocessingData StructuresData VisualizationDatabase Management System (DBMS)Decision-MakingDisaster Recovery

About

With 3+ years of experience working on banking and financial systems, I’ve helped teams solve real problems—whether it’s improving core systems, automating reports, or making data easier to understand and act on. I enjoy connecting the dots between what the business needs and how technology can make it happen. I like asking the right questions, getting to the root of an issue, and finding practical ways to improve things. I take pride in doing work that’s thoughtful and thorough, even when the challenges are complex. Now, I’m looking for the next opportunity to grow, contribute to meaningful work, and be part of a team that builds something useful and lasting.

Experience

3 yrs 10 mos

Total Experience

3 yrs 1 mo

Average Tenure

9 mos

Current Experience

M2p fintech

Solutions Product Manager

Aug 2025 – Present · 9 mos · Hyderabad, Telangana, India · On-site

Icici bank

Technical Product Owner

Jul 2022 – Aug 2025 · 3 yrs 1 mo · Hyderabad, Telangana, India · On-site

Spearheaded technical product ownership of ICICI’s trade-finance suite across payables, receivables, vendor and dealer financing. Worked with business and operations to convert financing rules into clear system flows, reviewed journeys end-to-end, and resolved issues that slowed invoice discounting and settlements.
Managed releases, UAT, production incidents and integration behaviour with CBS and middleware, fixing gaps in interest logic, limit usage and reconciliation. Improved onboarding, corrected data mismatches, closed audit findings and automated recurring operational tasks.
Enhanced the platform’s reliability by upgrading infrastructure—introducing RAC database architecture, implementing a node balancer for traffic distribution, and setting up a full disaster-recovery environment for failover readiness.

Technical Product OwnershipSystem FlowsUAT ManagementIntegration ManagementInfrastructure UpgradesDisaster Recovery+2

Exposys data labs

Data Science Intern

Apr 2021 – May 2021 · 1 mo

Objective: Develop a predictive model to identify individuals at risk of diabetes based on key health indicators.
Algorithms Used: K-Nearest Neighbors, Support Vector Classifier, Logistic Regression, Decision Tree, Gaussian Naïve Bayes, Random Forest, Gradient Boosting, Extreme Gradient Boosting Classifier, Adaptive Boosting.
Key Highlights:
1. Data preprocessing and feature engineering for better accuracy
2. Model comparison and performance evaluation using metrics like AUC-ROC, Precision, Recall, and F1-score
3. Identified the most influential features for early diabetes detection
4. Achieved 77% accuracy with Gradient Boost.

Predictive ModelingData PreprocessingFeature EngineeringModel EvaluationData Science