Satyanarayana Repala
Senior Manager - Director, Data Science
Chennai
Summary
Experienced Senior Data Scientist with expertise in data analysis, machine learning, and statistical modeling. Proven leadership in mentoring teams, developing data strategies, and aligning data science initiatives with business objectives. Skilled in managing complex projects, delivering high-quality results on time and within budget, and driving data-driven decision-making across organizations.
Overview
9
9
years of professional experience
6
6
years of post-secondary education
2
2
Certifications
4
4
Languages
Work History
Senior Manager - Director, Data Science
Morgan Stanley
Bengaluru
04.2024 - Current
Designed and implemented a CNN-based auto-encoder model to detect Account Takeover (ATO) fraud by analyzing user online activity, device information, and domain-specific features, significantly reducing the volume of investigation cases.
- Evaluated and validated vendor models as part of Model Risk Management (MRM) responsibilities; developed an automated system for continuous performance monitoring, ensuring reliability and compliance.
- Built a treasury check fraud detection model leveraging computer vision and OCR technology, effectively identifying fraudulent checks and improving fraud prevention mechanisms.
Senior Data Scientist Level 2
Condenast India
Chenai
09.2021 - 02.2024
- Developed personalized recommendations using Graph Neural Networks in PyTorch for media industry.
- created an open-text fashion image search system using SAM and CLIP architectures, enabling text-based searches across one million images.
- Built performance monitoring dashboards for model assessment.
- Lead projects on lifeline packages and subscriber lifetime value (LTV) estimation using LSTM models and engagement data.
- identified high-value subscribers through precise LTV estimation.
Data Scientist
IOPEX TECHNOLOGIES
Chennai
03.2019 - 09.2021
1) Invoice Parameter Extraction: Employed image processing and NLP (NER models) to automate invoice parameter extraction, improving data accuracy and efficiency.
2) Employee Performance Monitoring System: Implemented a system that classified user screen recording sessions to enhance employee performance monitoring and management decisions.
3) Email intent detection system integrated to salesforce: intent like complaint, feedback, query, compliment.
Software Engineer
Tata Consultancy Services
Chennai
06.2016 - 03.2019
- Retail store shelf compliance detection model, ensemble model with object detection, feature extraction, text extraction from products, and identify the product.
- End to End API integration and deployment onto aws E2 instance
- Worked as support engineer for 1.5 years for client Morgan Stanley.
Education
BE - Electrical And Electronics
SASTRA UNIVERSITY
Thanjavur 06.2012 - 06.2016
High School Diploma -
Vignan Junior College
Guntur 06.2010 - 06.2012
Skills
Machine Learning(LR,SVM,bagging and boosting)
Deep Learning (CNN, LSTM, ANN, GNN)
NLP(Language models)
Personalised recommendations(graph neural networks)
Model evaluation and dashboard implementation
Keras, Tensorflow, Pytorch
LLM (LLama,Falcon open source models))
Image processing
Statistical analysis and inference
Python3, Django, Docker, pyspark
Team management
Manage multiple projects
Define quarterly targets and key results
Accomplishments
Machine Learning: statistical models , feature selection using correlation and data normalization, transforming data, hyper parameter tuning, deciding loss functions and optimizers, ensemble models , bagging and Gradient boosting methods,PCA(principle component analysis)
Deep Learning: CNN , activation function, different layers, , regularization techniques, data preparation, data preprocessing, training models and
NLP: NER(named entity recognition), sentiment analysis, word2vec,CBOW,SKIPGRAM,Glove, BERT, TFIDF, N-gram,Transformers, Fast text embedding(char embedding).
Validation Techniques : AUC (Area under curve analysis) / ROC ( receiver operating characteristic curve),confusion matrix, Precision, Recall, F1 score.
Project : personalized recommendations to the user based on user history and demographics, using Graph neural networks (deep graph library).
Project : detecting products,shelves and positions in Retail store, using deep neural network
Project: Extracting invoice parameters , invoice number, date,account number,vendor,ship,and remit addressed
Project: extract contact entities , person name, title and company name email address from email threads and populate these details into sales force contact management screen
Project: Build, person ,facemask detection and social distance monitoring Video analytics application and deployed in SHINOBI CCTV monitoring app, Live Detection and streaming
Project : Text classification , intention detection in email threads, is email contains complaint, feedback, query, compliment, information.
Project : user activity monitoring tool , deep neural network to monitor user system , how much time spent on which application, browser , command line, media player, excell
Project : text classification, monitor user screen and classify the amount of improper text present on screen , to measure how much a child is exposed to abuse,hatred on social media platforms
Certification
Neural Networks And Deep Learning: coursera.org/verify/SLTJ3EGKFWQQ
Education
Guntur,Tanjavur
Languages
Upper intermediate,4,Upper intermediate,4,Advanced,5,Advanced,5
Contact
Chennai, India 600091
Timeline
Senior Manager - Director, Data Science
Morgan Stanley
04.2024 - Current
Senior Data Scientist Level 2
Condenast India
09.2021 - 02.2024
Data Scientist
IOPEX TECHNOLOGIES
03.2019 - 09.2021
Software Engineer
Tata Consultancy Services
06.2016 - 03.2019
BE - Electrical And Electronics
SASTRA UNIVERSITY
06.2012 - 06.2016
High School Diploma -
Vignan Junior College
06.2010 - 06.2012
Neural Networks And Deep Learning: coursera.org/verify/SLTJ3EGKFWQQ
Jun 2021
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