Satyanarayana Repala
Chennai
Summary
Experienced Senior Data Scientist with a proven track record of delivering data-driven insights and solutions to drive business success. Demonstrated expertise in data analysis, machine learning, and statistical modeling, combined with exceptional leadership skills. Adept at leading cross-functional teams, developing data strategies, and driving data-driven decision-making at all levels of the organization.
- Demonstrated strong leadership by mentoring and coaching junior data scientists, fostering their professional growth, and contributing to a cohesive and high-performing team.
- Led the development of the data science department's strategic roadmap, aligning it with the company's long-term objectives and driving data-driven decision-making across the organization.
- Effectively managed a portfolio of complex data projects, consistently delivering on-time and within budget while maintaining a high level of quality and accuracy.
Overview
8
8
years of professional experience
6
6
years of post-secondary education
1
1
Certification
4
4
Languages
Work History
Senior Data Scientist Level 2
Condenast India
09.2021 - Current
- 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.
Senior Software Engineer
IOPEX TECHNOLOGIES
04.2019 - 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.
Systems Engineer
Tata Consultancy Services
06.2016 - 04.2019
- 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 morgan stanley
Education
BE - Electrical And Electronics
SASTRA UNIVERSITY
Tanjavur 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)
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
Timeline
Senior Data Scientist Level 2
Condenast India
09.2021 - Current
Neural Networks And Deep Learning: coursera.org/verify/SLTJ3EGKFWQQ
06-2021
Senior Software Engineer
IOPEX TECHNOLOGIES
04.2019 - 09.2021
Systems Engineer
Tata Consultancy Services
06.2016 - 04.2019
BE - Electrical And Electronics
SASTRA UNIVERSITY
06.2012 - 06.2016
High School Diploma -
Vignan Junior College
06.2010 - 06.2012