SENTHILKUMAR.M
Lead Data Scientist | Machine Learning Engineer
Global, IN.About
Highly accomplished Data Scientist and Machine Learning Engineer with 7.8 years of IT experience, including 4.7 years specializing in Data Science. Expertise spans statistical modeling, deep learning, natural language processing, and predictive model deployment across diverse industries. Proven ability to translate complex data into actionable insights, build robust AI/ML solutions, and drive data-driven decisions for both UK and US clients.
Work
Mphasis
|Lead Data Scientist
Europe (Client), N/A, EU
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Summary
Led data science initiatives for a leading European logistics client, developing and deploying advanced machine learning models to optimize critical business processes and enhance operational efficiency.
Highlights
Developed and deployed an HSCode prediction model using AP clustering and Logistic Regression, improving classification accuracy by 10% through a Deep Learning Feed Forward Network.
Engineered an automated invoice data extraction system using ABBYY and Tesseract OCR, building a classification module and Flask API to process and store extracted fields in HazzelCast Database.
Designed and implemented a Cage Prediction module utilizing deep learning to forecast shipment caging probability, enabling the client to avoid customs penalties and accelerate delivery times.
Awarded the ACE AWARD for outstanding performance, recognizing significant contributions to project success and innovation in data science solutions.
Ericsson Global India Pvt Ltd
|Senior Data Scientist / Network Optimization Engineer
UK (Client), N/A, United Kingdom of Great Britain and Northern Ireland
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Summary
Applied advanced data science and machine learning techniques to optimize network performance and enhance customer experience for a major UK telecommunications client.
Highlights
Developed and deployed a classification model using Logistic Regression, KNN, SVM, Random Forest, and Deep Learning to predict Network Key Performance Indicators (KPIs) for UK customers, leading to improved network performance and degradation mitigation.
Implemented an NLP CNN Multi-classification Model with GloVe embeddings to analyze and classify network events, identifying coverage gaps, poor quality, and low throughput issues from large datasets.
Built and deployed a Logistic Regression classification model for traffic churn capacity modeling, delivering critical insights into churning behavior to enhance network retention and product development.
Received the 'Spot Recognition Award' for exceptional performance on the ATT & T LTE project, acknowledging significant contributions to network optimization.
QuadGen Wireless Solutions
|Network Automation Engineer
India, N/A, India
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Summary
Automated critical network operations and reporting processes using Python, significantly improving efficiency and data accuracy for wireless solutions.
Highlights
Developed a Python-based Cell Reference Generator utilizing Selenium and Beautiful Soup to automatically extract and process high volumes of mobile site information from MIST, streamlining data acquisition.
Automated PowerPoint slide preparation for drive plots using the PPTx module, ensuring consistent formatting and accurate visual representation of network performance data.
Conducted comprehensive Mobile Network KPI analysis, including data fetching from OSS, KPI analysis, and providing implementation recommendations to enhance network performance.
Analyzed drive log files via Actix analyzer and managed pre- and post-launch network site activities for AT&T, ensuring optimal network functionality.
Integrated Wireless Solutions &Mobile COMM Technologies
|Field Network Engineer
India, N/A, India
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Summary
Executed and optimized wireless network drive tests, ensuring robust network performance and resolving critical issues for telecommunications clients.
Highlights
Conducted extensive SCFT, Cluster, Migration, and Highway Drives, verifying critical network parameters like SHO, IRAT HO, cell reselection, CS call, and HSDPA throughput from drive logs.
Successfully reduced pilot pollution and overshooting, optimizing antenna configurations (height, tilt, azimuth) across network cells/sectors to enhance overall network performance.
Troubleshot and resolved critical network issues, including call drops and handover failures, while also performing sector swap detection and rectification.
Actively engaged with customers to address and resolve network-related complaints, ensuring high levels of client satisfaction.
Education
PAVENDAR BHARATHIDASAN COLLEGE OF ENGINEERING & TECHNOLOGY
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B.E.
Electronics & Communication Engineering
Grade: First class
Awards
ACE AWARD for Best Performance
Awarded By
Mphasis
Awarded for outstanding performance and significant contributions to project success and innovation in data science solutions.
Spot Recognition Award
Awarded By
Ericsson Global India Pvt Ltd
Recognized for best performance in November & December on the ATT & T LTE project, highlighting significant contributions to network optimization.
Languages
English
Tamil
Hindi
Skills
Programming Languages
Python.
Data Science & Machine Learning
Statistical Modeling, Predictive Modeling, Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Feature Extraction, SVM, Decision Trees, Ensemble Methods, Naive Bayes, K-Nearest Neighbors (KNN), Random Forest.
Deep Learning & NLP
Artificial Neural Networks, Feed Forward Network, LSTM RNN Seq2Seq, Natural Language Processing (NLP), Bag of Words Modeling, Word Embeddings (GloVe), Computer Vision (OpenCV).
Libraries & Frameworks
Pandas, NumPy, Flask, Matplotlib, Scikit-learn, Keras, TensorFlow, NLTK, Beautiful Soup, Selenium, tkinter, gensim, statsmodel.formula.API, PorterStemmer, Logging, Email.MIME, PPTx.
Data Handling & Processing
Structured Data, Semi-structured Data, Unstructured Data, Data Processing, Data Cleansing, Data Verification, Web Scraping, OCR (ABBYY, Tesseract), Database Management (HazzelCast).
Model Deployment & Containerization
Flask API, Apache, Gunicorn, Mod_wsgi, Docker.
Version Control
SVN, GIT.
Telecommunications & Network Optimization
Network Key Performance Indicators (KPI), Network Optimization, SCFT, Cluster Drives, Migration Drives, Highway Drives, SHO, IRAT HO, Cell Reselection, CS Call, HSDPA Throughput, Pilot Pollution Reduction, Overshooting Reduction, Antenna Configuration (Height, Tilt, Azimuth), Call Drop Resolution, Handover Failure Resolution, Sector Swap Detection & Rectification, Actix Analyzer, OSS.