Preetham Dhonekeni

Product Manager

Hyderabad, Telangana, India6 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced financial transaction processing time by 53%.
Integrated AI to automate document processing.
Led cross-functional teams to deliver impactful product solutions.

Stackforce AI infers this person is a Product Manager with expertise in SaaS and Data Analytics.

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Skills

Core Skills

Product ManagementAgile Project ManagementProduct StrategyBusiness AnalysisData Analytics

Other Skills

Product InnovationUser StoriesProduct RequirementsAgile MethodologiesFigmaProduct DevelopmentBusiness RequirementsJiraUser BehaviorWireframingUser Experience (UX)Stakeholder ManagementData AnalysisMachine LearningData Mining

About

Associate Product Manager at Recykal, Equally skilled in handling and enhancing legacy products and developing new products from scratch. Collaborated with cross-functional teams to implement maker-checker controls and document storage systems, delivering impactful solutions aligned with evolving regulations. Holds an MSc in Applied Statistics from Symbiosis International University, complemented by a business management program at Stoa. Skilled in agile project management, product innovation, and user story development, with a goal to drive data-driven strategies and innovative product solutions.

Experience

6 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 2 mos

Current Experience

Recykal.com

Associate Product Manager

Mar 2024 – Present · 2 yrs 2 mos · Hyderabad, Telangana, India · On-site

Market Place - Platform Modernization
● Owned end-to-end financial transaction workflows (billing, invoicing), reducing processing TAT by 53% across 700+ monthly transactions and accelerating cash realization while maintaining control integrity.
● Integrated DOC AI using Gemini models to automate inter- and intra-document field extraction and validation, eliminating manual invoicing effort and reducing turnaround time from 30 mins to 5 mins.
EPR Loop – Platform Modernization
● Modernized compliance-aligned modules, Operational flows and scaled platform revenue by 62% (₹130 Cr → ₹210 Cr).
● Led cross-functional discovery with engineering, UI/UX, product, legal, operations, and compliance teams, delivering 100+ user stories and AS-IS → TO-BE workflows for enterprise-grade processes.
● Integrated AI-driven document parsing, increasing delivery productivity from 35 → 90+ deliveries/day and reducing error rates by 40%.
● Streamlined Quote-to-Cash, invoicing, billing, and financial reconciliation by syncing workflows with Zoho Books via APIs, reducing manual reporting by 80% and establishing a single source of truth.
● Built KPI dashboards to track adoption, usage, and performance metrics, driving data-informed prioritization.
Re-commerce B2B E-commerce Platform – Shopify Implementation
● Owned the end-to-end product lifecycle from discovery to launch and collaborated with internal engineering and third-party developers on API integrations and backend services to enable lot-wise sales of refurbished electronics, driving Rs 15 Cr in GMV
● Designed verified onboarding flows (OTP/WhatsApp login, GSTIN/PAN verification, admin approvals) and multi-channel notifications, reducing onboarding time by 40% and boosting activation.
● Automated order, inventory, payment, and invoice synchronization with Zoho Books, improving financial accuracy and data consistency across systems.

Agile Project ManagementProduct InnovationUser StoriesProduct RequirementsAgile MethodologiesProduct Strategy+13

Tata consultancy services

Developer

Aug 2020 – Mar 2024 · 3 yrs 7 mos · Hyderabad, Telangana, India

Project - 1
▪ Part of a 20-member global team supporting one of the world's leading telecom companies develop and
implement strategic Google Cloud Technologies to enable powerful Data Analytics, deliver faster insights, and
enhance customer experience.
▪ Developing an end-to-end data ingestion process from Google Cloud Storage to Big Query, leveraging
enterprise data integration Cloud Data Fusion service.
▪ Successfully built and triggered 300+DataPipelines on Google Cloud Platform using Python and Apache Airflow
Composer to test large-scale data processing capabilities and ensured a successful Go live.
▪ Developed Big Query scripts to create and update the tables (using SCD-1 and SCD-2 Logics) given by the Data
Modelling team according customer requirements.
▪ Reporting the development to the customer by visualizations using interactive Power BI dashboards.
▪ Appreciated for the continuous efforts also received “Star of The Month” award for dedication towards the
project.
Project – 2
Worked with a Travel and booking agency for developing LLD and HLD for the transition of the data storage and
analytical requitements.
▪ Developed Oracle Scripts and converted them into Spark SQL and Big Query compatible queries.
▪ Developed Multiple automation dags using Airflow and Data Proc for the Incremental tables.
▪ Currently in the final stage of moving all the required tables to the production.

Business AnalysisQuantitative AnalyticsGoogle Cloud TechnologiesPythonApache AirflowBig Query+2

Srv media pvt. ltd.

Data Science Intern

Dec 2019 – Feb 2020 · 2 mos · Pune/Pimpri-Chinchwad Area

Streaming the Leads data, analysing the demographic data of the leads to gain insights like where abouts of the leads, which will help the planning team to concentrate their campaign in specific areas.
Help the technical team in building the Inhouse lead repository for the reuse of the campaign data.
Using historical data of leads to building a Machine Learning model (Multiple output) to classify the leads and to predict the lead conversion rate with respect to various domains where the campaigns need to be run.

Prashanthi cancer care mission

Data Analyst (Intern)

Apr 2019 – Dec 2019 · 8 mos · Pune/Pimpri-Chinchwad Area

Analysed Data collected during the Project “Breast and Cervical Cancer Community Screening Programme”
(Project SHODH) in Pune City.
Cleaned the data, dealt with the missing values, conducted univariate and bivariate analysis, tested the dependence of various risk factors with the outcome variable and made a flow chart of the complete study.
Applied Regression analysis, Artificial Neural Networks to predict the risk of having Breast Cancer and visualized the data and also contributed in writing the paper which is to be published.