RAKESH PATNALA
Lead Data Scientist | AI /ML /GenAI - Strategist
Hyderabad
Summary
Lead Data Scientist with 10+ years of experience architecting scalable AI/ML solutions across BFSI, automotive, and telecom domains. My focus lies in designing intelligent systems powered by Generative AI, RAG (Retrieval-Augmented Generation) chatbots, Machine learning Models ,Knowledge Graphs, and open-source NLP frameworks like Rasa.
Overview
11
11
years of professional experience
3
3
Certifications
3
3
Languages
Work History
Lead Data Scientist
HSBC
12.2023 - Current
- Delivered AOEDE, a multilingual voice-to-text platform using Azure Cognitive Services, improving accessibility and saving $2M+ annually.
- Transcription and Translation services for contact centres, to embed both accessibility and voice assistant features (Speech-to-text, Text-to-speech, batch- processing, speech analytics, real time transcription and translation services) using Azure Cognitive Services.
- Designed and deployed RAG-LCNC Framework - semantic chatbots integrated with Knowledge Graphs to enhance resolution accuracy and real-time contextual search.
- Engineered Rasa-powered conversational bots to support voice and text channels for internal automation and customer support.
- Built KMeans Clustering Model to benchmark and segment employee digital activity using application, keyboard, and mouse usage data.
- Created multiple Data Science Accelerators to support existing and future integrations – EDA, Classification, Regression, Clustering, Aoede Accelerators (Text to Speech, Speech to Speech, Text/Doc translation, L4 categorization of Call with retrospective Analysis) —reducing project cycle times by 30%.
- End to End Maintenance of Project Life Cycle along with extensive documentation in multiple Stages. (Discover, Define, Develop, Deploy, Deliver and Operations Support) and Contributed to DA Approval , SDD Approval , Cybersecurity Approval , ITSA NFR's and Airco Approval of Project
Manager / Sr. Data Scientist
Maruti Suzuki India Ltd.
08.2022 - 12.2023
- Developed a targeted audience model for Targeting prospective audiences to drive up Winback conversion for the Maruti Insurance.
- Built an XGBoost model to predict the probability of conversion, utilizing RFM metrics to derive high, medium, and low affinity buckets.
- Conducted audience profiling using conversion probabilities and achieved significant conversion rates of 10-20% through targeted calling strategies.
- Implemented automated audio analysis to detect brake squeal noise, minimizing the need for manual involvement and reducing person-hour engagement.
- Developed an Artificial Neural Network (CNN) model that effectively extracted features from recorded audio waves of braking events.
- Attained an impressive accuracy rate of 94% in detecting brake squeal noise, resulting in reducing man-day engagement by 315 days i.e., estimated annual cost savings of Rs. 31,50,000.
- Project management operations including understanding business requirements from stakeholders, independently formulating analysis approach presenting complex information for various audiences in simplified terms and identifying next steps and future opportunity.
Senior Engineer
Ericson India Global Service Ltd.
01.2022 - 08.2022
- Built Multiple machine learning algorithms (classification techniques like random forest, decision trees, XG boost etc.) to predict the CQI based on radio KPIs (RSRP, RSRQ, RSSNR, etc.).
- Built a robust logistic regression model to predict hardware failure, and to identify contributing features as well as patterns prior to service degradation which led to a 30% reduction in service degradation incidents
Lead - Mobility (Data Analytics)
Vodafone Idea Ltd.
04.2019 - 12.2021
- Developed a predictive model using Random Forest algorithm to determine indoor/outdoor status of mobile users based on 71 smartphone sensor variables (e.g.: accelerometer, ambient sound level, ambient illuminance, etc.) for Enabled personalized experiences and targeted services.
- Software upgradation of Ericsson RAN nodes (ENM-Ericsson Cloud).
Engineer
Ericson India Global Service Ltd.
09.2014 - 04.2019
- Developed an efficient system by leveraging Data preprocessing, machine learning, and NLP techniques that accurately maps customer complaints to appropriate resolutions, identification of root causes, provision of recommended resolutions and through the integration of trouble tickets the CCMT system enables the storage and analysis of complaint data that accurately mapped over 85% of customer complaints , reducing repeat complaints by 20% and increasing resolution speed
- Developed Python Automated Scripts for Daily Changes.
Education
Post Graduate Program - Data Science and Business Analytics
Texas McCombs School of Business
RemoteBachelor of Technology - Electronics & Telecommunications Engineering
National Institute of Technology
Silchar, IndiaSkills
Programming Tools: Python, SQL
Cloud Services: Amazon Web Services , Microsoft Azure , Ericsson Cloud (ENM)
AI /GenAI: GPT models, CNNs, RAG architecture, Knowledge Graphs,
Machine Learning: Supervised and Unsupervised Learning,Natural language processing (NLP) ,Rasa Framework
Exploratory Data Analysis & Feature Engineering
Visualization Tools: Tableau, PowerBI
AI Project Management: AI Controls ,Model Risk management , Governance approvals,E2E Project Lifecycle
Certification
AWS Associate Solution Architect
Hackathon
Mega Hackathon - Mu Sigma, To build a robust machine learning model that would help the bank to take proactive measures and distinguish the future applicants who might default., Achieved 2nd Rank along with Cash Reward
Awards
Pioneer of the Quarter, Q2, 2024, HSBC, Key Contribution in building AOEDE Solution
Timeline
Lead Data Scientist
HSBC
12.2023 - Current
Manager / Sr. Data Scientist
Maruti Suzuki India Ltd.
08.2022 - 12.2023
Senior Engineer
Ericson India Global Service Ltd.
01.2022 - 08.2022
Lead - Mobility (Data Analytics)
Vodafone Idea Ltd.
04.2019 - 12.2021
Engineer
Ericson India Global Service Ltd.
09.2014 - 04.2019
Post Graduate Program - Data Science and Business Analytics
Texas McCombs School of Business
Bachelor of Technology - Electronics & Telecommunications Engineering
National Institute of Technology
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