Data Scientist and ML Engineer with 3+ Years Experience

SHRAVAN KUMAR P

Data Scientist Machine Learning Engineer https://shravankumarpesala.netlify.app/ Email: *********************@*****.*** Phone: +91-827******* LinkedIn: linkedin.com/in/shravan369 Location: Bangalore, India

PROFESSIONAL SUMMARY :

Data Scientist and Machine Learning Engineer with 3+ years of experience in Predictive Modelling, Data Analysis, and end -to-end ML Pipeline Development. Improved prediction accuracy by 20% and reduced manual reporting by 50% through advanced Analytics and Visualiza tion. Expertise in Python, SQL, Machine Learning Algorithms, Cloud Deployment (AWS, Docker), and Cross-functional Team Collaboration. TECHNICAL SKILLS :

Programming & Databases: Python, SQL, MongoDB

Machine Learning: Scikit-learn, Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, AdaBoost, Gradient Boosting, SVM, Naive Bayes, KNN, K-Means, DBSCAN, PCA, Feature Engineering, Hyperparameter Tuning, Cross-Validation Deep Learning & Neural Networks: TensorFlow, Keras, Artificial Neural Networks (ANN) NLP & Sentiment Analysis: Natural Language Processing (NLP), Sentiment Analysis, Text Classification, Tokenization, Lemmatization, TF-IDF, Word2Vec, BERT, Named Entity Recognition (NER), Text Preprocessing Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Power BI, Grafana, Streamlit, Excel Statistical Analysis: Hypothesis Testing, T-Test, Z-Test, Chi-Square, ANOVA, Time Series Analysis Cloud & DevOps: AWS, Docker, Git, GitHub, Linux, FastAPI, Pydantic Monitoring & ITSM: Filebeat, Metricbeat, Winlogbeat, Logstash, ServiceNow, BMC Helix, ETL Pipelines, Agile PROFESSIONAL EXPERIENCE :

SOFTWARE ENGINEER – Machine Learning (Data Science) May 2024 – Present Eurofins IT Solutions Private Limited Bangalore, India

• Developed and optimized Supervised Machine Learning Models improving Prediction Accuracy by 20% through advanced Feature En gineering and Hyperparameter Tuning.

• Implemented robust Data Cleaning and Statistical Methodologies using Python (NumPy, Pandas), reducing data errors by 30% an d ensuring high-quality inputs for Model Training.

• Built interactive Dashboards using Grafana and Power BI translating complex datasets into “Actionable Insights” adopted by 5+ “cross-functional teams”.

• Deployed “containerized ML Models” using Docker, improving Deployment Efficiency and Scalability across Production Environments. ASSOCIATE SOFTWARE ENGINEER – Machine Learning (ML) June 2022 – May 2024 Eurofins IT Solutions Private Limited Bangalore, India

• Designed Grafana, Power BI and Excel Dashboards reducing Manual Reporting by 50% and supporting Data-Driven Decision-Making across 3+ teams.

• Performed Exploratory Data Analysis (EDA) and Data Preprocessing using Python and SQL, increasing Operational Efficiency by 25%.

• Built Automated ETL Data Pipelines using Filebeat, Metricbeat, Winlogbeat and Logstash for Real -Time Monitoring and Data Ingestion from multiple sources.

• Maintained Version Control and Code Documentation using Git and GitHub, ensuring Code Quality and Team Collaboration standa rds. DATA ANALYST INTERN March 2022 – April 2022

Kodnest Remote

• Conducted Data Analysis using Python and Excel reducing data errors by 25%; built Power BI Dashboards cutting Manual Report ing time by 30%.

• Developed and documented standardized Python Scripts for Statistical Operations, automating Metrics Tracking and Report eration Gen processes. KEY PROJECTS :

Multi-Domain Classification Models Python, Scikit-learn, GridSearchCV ML Models

• Built end-to-end Classification Models (Logistic Regression, Random Forest, Decision Tree) achieving 80%+ Accuracy through Feature Engineering and GridSearchCV Hyperparameter Tuning; deployed via Streamlit. Regression Analysis Suite Python, Scikit-learn Salary Prediction · Student Performance · Vehicle Price Estimation

• Developed regression models (Linear, Polynomial, Lasso, Ridge, ElasticNet) achieving R score of 78%+ using Regularization, Feature Scaling and Cross-Validation techniques.

EDUCATION:

BTech : Electrical and Electronics Engineering (EEE ) Sri Venkateshwara College of Engineering 2017 – 2021 CGPA: 81% AWARDS & ACHIEVEMENTS :

• District Topper: Kadapa District (10th Standard) Recipient of Swami Vivekananda Award & Medal

• Star Performer Award: Eurofins IT Solutions for exceptional Project Delivery and outstanding results

• Cheers to Peer Award: Recognized for outstanding Teamwork and Cross-Functional Collaboration CERTIFICATIONS & LANGUAGES :

Certifications: Data Science Data Analytics Data Visualization Linux Data Structures & Algorithms Soft Skills & Communication Languages: English (Proficient) Hindi (Intermediate) Telugu (Native)