Siva Nagendra
Bengaluru
Summary
Highly accomplished Senior Data Science Engineer with almost 6 years of experience having Masters degree in AI and Robotics , driving data-driven result oriented solutions by solving complex problems and optimizing business performance by implementing advanced machine learning models across various industries. Proven ability to lead teams, manage projects end to end, and communicate effectively with non-technical stakeholders. Committed to optimizing business performance, fostering a data-centric culture having exposure to Startup environment, and mentoring emerging data scientists.
Overview
6
6
years of professional experience
Work History
Senior Data Science Engineer
Lowe's
10.2021 - Current
- Designed and developed an end to end Theft Detection system to prevent shrinkage in retail stores using python, pytorch, object detection and tracking resulting in a 15% reduction in fraudulent transactions, and a savings of $5 million in fraud-related losses per year.
- Developed Product will help to cutdowns the one fraud investigation case from 72 hours hours to 15min which is directly benefit to reduce investigation manned hours over 80%
- Led the Active learning pipeline product for data collection using python,object detection ,minio, postgrace which reduced the manual work hours by 90% and result in saving revenue of $30K.
- Created and automated message queuing mechanism from deployed application into a database, with help of python , Kafka , Airflow and HiveDB resulted in reduced manual effort by 100%.
- Created project training pipeline includes image collection, labeling and model training with help of python, mlflow and kubeflow which is attributed to reduce the manual effort by 50%
- Automated project deployment pipeline with help of python,docker and jenkins , deployed in StoreVMs and kubernetes platform resulted to decrease manual intervention by 90% and algorithm trigger automatically on daily basis.
- Automated the postprocessing pipeline by mapping the fraud events with transactions and publishing to UI via DB(to review fraud events by investigation team) with help of python, trino,postgrace and HiveDB and enhance the efficiency by 95%.
- Developed and integrated the alert mechanism system over application failure or pipeline failure help us to run application up and run over 99%.
- Maintaining the Theft detection algorithm along with bug fixing to make it work efficiently over 99%.
- Connecting and Presented technical findings to business stakeholders, ensuring clear understanding of project status and goals by providing key insights and sharing visualization reports
- Gather requirements from business team and developed POC's along with the product features over 95% accuracy.
- Collaborating with cross-functional and multi timezone teams make sure the work done within project deadlines over 98% time by following the agile methodology.
- Improved team productivity by providing technical guidance and mentoring data scientists and junior engineers.
- Led engineering teams to successfully complete projects on time and within budget over deadlines.
Senior Software Engineer - AI/ML
Wellnesys Inc
03.2020 - 09.2021
- Developed world's first Smart Yoga Mat and intelligent yoga instructor with fusion of IoT sensor data and AI Techniques which contributing to company profits by 20% and sold product to over 40 countries.
- Led the development of a product Yogify CV. Where designed and implemented computer vision based Intelligent Yoga Master application with help of python and pose estimation for Android and IOS platforms having downloads 1M each and having the real impact in daily life of each individual over 100 countries resulted to improve the company's sales visibility by 30%.
- Optimized the heavy weighted Neural network models into edge devices such as raspberryPI , android and IOS devices(Iphone,Ipad & Apple watch) and deployed on them, resulting 60% improvement in execution speed and 40% reduction in memory utilization by enhancing user experience.
- Researched and Developed a smart watch yoga pose prediction model that combined multiple machine learning algorithms, including XGBoost, Random Forest, and Neural Networks, achieving a 98% of improvement in prediction accuracy.
- Automated the ML model training pipeline and config services via API contributed to 50% direct impact in manual work.
- Streamed lined the data collection pipeline which resulted to reduce human effort by 30%.
- Managed multiple projects by coordinating with business team simultaneously while maintaining strict deadlines and high-quality standards by following agile methodology.
- Mentored and supervised a team of data scientists and engineers in training, and deploying scalable machine learning models on lower hardware resources and reducing manual effort by 20% and accelerating time-to-market for AI-driven features.
- Interacting with Manager, CTO and CEO on regular basis by providing valuable insights for the product development cycle, aligning technical strategy with business objectives.
Enabler - Data Science
Callhealth Services
11.2019 - 03.2020
- Developed application to extract EHR data from various vendors with help of python and spacy which resulted to save manual man hours by 20%.
- Analyzed and find the patterns of customers and target the customers based on their purchase activity using collaborative filtering, and retargeting the customers using pattern analysis by topic modeling and clustering mechanism which resulted to improve sales by 5%.
- Developed machine learning models for drug correlations and customer behavioral pattern using python and NLP to prove recommended drugs which resulted to improve sales by 6%.
- Implemented various time series forecasting techniques to predict surge in customer orders to lower average customer wait time with an accuracy over 90%.
- Building highly parallelized machine-learning applications to automate the process of EHR resulted to improve efficiency by 10%.
Software Engineer - ML
Zebi Data
10.2018 - 10.2019
- Implemented a AI based smooth and fast visual monitoring system for hotels and police personal using Face recognition and OCR models leading to a 10% reduction in manual hours of person identification.
- created email alert mechanism system to send alerts to police personal which leads to improve the crime investigation time to 5%.
- Streamlined data analysis and process using Python and Pandas, increasing team efficiency by 20% and enabling faster insights.
- Developed image classifiers for semi-structured data resulting in a 50% reduction in manual data review.
Education
Master of Science - Artificial Intelligence And Robotics
Andhra University
Visakhapatnam, India09.2019
Bachelor of Science - Information Technology
Kakatiya University
Warangal, India05.2017
Skills
Programming Languages: C, C, Java, Python, R and SQL
Algorithms and Libraries :-
- Classification:- KNN, Logistic regression, SVM, Naive Bayes, Decision Trees, Ensemble models,Random Forest,XGBoost,GBDT,Adaboost
- Regression: linear,multinomial,polynomial,ANOVA,ARIMA,SARIMA,fbprophet,SVR
- Clustering:- k-means, Aglomerative, DBScan,Optics
- Neural Networks:- ANN,CNN,RNN,LSTM,GAN, transformers, encoders
- Libraries:- Scikit-Learn, TensorFlow, Pandas, NumPy, PyTorch, SciPy, Keras, OpenCV,Apache Tomcat,HuggingFace, BERT, Jupyter Notebook,plotly, NLTK, langchain, Spacy
- MLOps:- Kubeflow, MLFlow, Airflow,Kafka
- VectorDBs:- pincone ,weaviate, chroma
Tools:
- CI/CD Tools:- Git,Bit bucket, Docker, Jenkins, Graphana
- Other tools: Confluence,Jira,slack,Excel,DB Wear, PgAdmin
- Hardware:- CPU,GPU,CUDA
- DB:- Hive,MYSQL,postgrace, teradata
- Visualization:- Superset, powerbi,Excel
Skills: Video Analytics, GenAI, LLM creation, Computer Vision, End-to-end ML modeling, Fraud Detection, theft identification, Object Detection, Pose Estimation, face recognition, Recommended Systems, Sentiment Analysis,topic modeling,text summarization,Algorithm development, ML pipeline creation, Project Automation, Optical character recognition, Medical image analysis, Agile Methodology, Feature Engineering, A/B testing, MLOps, EDA, Time Series Analysis, , Statistical Analysis, Leadership, Team building, Team guidance, Problem Solving,Time management,Conflict resolution, Decision Making
Accomplishments
- Secured State 3rd rank in AP PGECET 2017.
- Got GOLD medal in NATIONAL LEVEL TALENT TEST.
- Best Web Monitor person in Election department of India in 2015 &2016
- Selected for spot award for current project contribution.
- Runner up in Hackathon event organized by company.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
There’s no shortage of remarkable ideas, what’s missing is the will to execute them.
Seth Godin
Timeline
Senior Data Science Engineer
Lowe's
10.2021 - Current
Senior Software Engineer - AI/ML
Wellnesys Inc
03.2020 - 09.2021
Enabler - Data Science
Callhealth Services
11.2019 - 03.2020
Software Engineer - ML
Zebi Data
10.2018 - 10.2019
Master of Science - Artificial Intelligence And Robotics
Andhra University
Bachelor of Science - Information Technology
Kakatiya University
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