DATA SCIENTIST

RAVIKIRAN S

DATA SCIENTIST

Email: ************@*****.***

Phone: +91-897******* Location: Bengaluru

LinkedIn: https://www.linkedin.com/in/ravikiranai/ ABOUT ME:

Engineer-turned-data scientist with 7 years of experience, including 5 years as a startup founder. Proven track record of developing data-driven solutions for EV charging stations, with 8,600 customers onboarded. Expertise in data analysis, predictive modeling, and strategic decision-making. Ability to engineer bespoke solutions that meet customer needs. Passionate about growth and innovation, with a keen eye for market trends.

SKILLS:

Opensource

Framework

VISUALIZATION

TOOLS

DATA SCIENCE

LIBRARIES

SCM Model

Development

PROGRAMMING

LANGUAGES

Streamlit Tableau PyTorch Git Classification Python Flask Power BI Keras GitHub Regression SQL

Fast API Matplotlib TensorFlow Clustering

seaborn Pandas, NumPy

SciKit-Learn

NLP, Anomaly

Detection

IDE

DATABASE/SERVER OTHER DATA

SCIENCE SKILLS

Domain Expertise

VS Code My SQL LLM Customer Analytics

Google Colab SQL Server RAG Predictive maintenance Jupyter notebook MongoDB Lang Chain Forecasting

PyCharm PostgreSQL Transformers

EXPERIENCE

Data Scientist, YBRANIUM., Bengaluru

Project Name: Building and Evaluating RAG Application Time Period: APR 2020 – Till Date

Tools Worked on: TensorFlow, GPT-4, Flask, Git, Pytest, GitLab CI, MySQL, pandas, scikit- learn

Scripting Language: Python, Shell scripting

Data visualization tools: Matplotlib, Seaborn

AWS Services (S3, EC2)

Database systems (MongoDB, MySQL)

Gathered and cleaned relevant data from various sources to build a comprehensive dataset.

Implemented data preprocessing techniques to ensure data quality and consistency.

Utilized machine learning algorithms (implemented in Python) to develop predictive models for risk assessment.

Experimented with different models, fine-tuning parameters for optimal performance.

Collaborated with the engineering team to integrate models into the RAG application.

Created interactive and informative visualizations using tools like Matplotlib and Seaborn.

Presented key findings and insights to stakeholders through clear and concise visual representations.

Worked on strategies for scaling the application to handle large datasets efficiently.

Collaborated with the DevOps team to ensure seamless deployment of data science models within the application infrastructure.

Implemented CI/CD pipelines for the RAG application using industry-standard practices.

Integrated version control systems (Git) to manage the codebase effectively.

Worked closely with cross-functional teams, including developers and business analysts, to align the data science efforts with business goals.

Maintained detailed documentation of the data science processes, methodologies, and model evaluations.

Conducted rigorous testing and evaluation of the RAG application, ensuring its accuracy and reliability.

Iteratively improved models based on feedback and real-world performance.

Increased Prediction Accuracy by 15% Through Model Optimization Business Analyst, YBRANIUM., Bengaluru

Project Name: Marketing Mix Modeling for Subscription services Time Period: APR 2019 – MAR 2020

Tools Worked on: NumPy, Pandas, Scikit-learn, Stats models, Excel, Tableau, Google Analytics, Knime, Jira, Git

Scripting Language: Python, Shell scripting

Data visualization tools: Matplotlib, Seaborn

AWS Services (S3, EC2)

Successfully optimized marketing strategies to achieve a 22% increase in customer subscriptions and a 15% improvement in subscription renewal rates.

Applied advanced statistical and analytical methods, including regression analysis, to model the relationships between marketing variables and subscription outcomes.

Tracked and managed key performance indicators (KPIs) related to subscription growth, customer retention, customer lifetime value, and marketing return on investment (ROI).

Developed attribution models that accurately allocated credit to different marketing channels and touchpoints in the customer journey.

Conducted comprehensive scenario analyses to assess the potential impact of changes in pricing, promotional strategies, and product features on subscription metrics. Data Analyst, YBRANIUM., Bengaluru

Project Name: Customer Churn Prediction

Time Period: OCT 2019 – MAR 2019

Tools Worked on: NumPy, Pandas, Scikit-learn, Excel, Tableau, OpenRefine, XGBoost, Jupyter Notebook, Trifacta Wrangler

Scripting Language: Python

Data visualization tools: Matplotlib, Seaborn, Ploty AWS Services (S3, EC2)

Database systems (MongoDB, MySQL)

Cleanse the dataset of any missing or inconsistent values.

Standardize and normalize relevant features.

Encode categorical variables for model compatibility.

Conduct thorough exploratory data analysis to understand patterns, correlations, and potential factors influencing customer churn.

Visualize key insights using appropriate charts and graphs.

Identify the most relevant features contributing to customer churn using statistical methods or machine learning techniques.

Evaluate and choose suitable machine learning algorithms for customer churn prediction, considering factors such as accuracy, interpretability, and scalability.

Split the dataset into training and testing sets.

Train the selected model using the training dataset, optimizing hyperparameters for performance.

Evaluate the model's performance using metrics such as accuracy, precision, recall, F1 score, and ROC-AUC.

Implement cross-validation to ensure robustness.

Reduced customer churn rate by 10% through predictive modeling

Identified highest-risk customer segments for retention campaigns Data Analyst, BESCOM(contract)., Bengaluru

Project Name: Site Identification for EV Charging infrastructure Time Period: DEC 2017 – SEP 2018

Tools Worked on: NumPy, Pandas, Scikit-learn, Excel, Tableau, Scripting Language: Python

Data visualization tools: Matplotlib, Seaborn, Ploty AWS Services (S3, EC2)

Database systems (MongoDB, MySQL)

Proficient Data Analyst specializing in future energy trends and sustainable EV charging, leveraging analytical prowess to advance greener energy landscapes.

Grounded in data analysis and emerging energy technologies, optimizing electric utility operations with a focus on BESCOM.

Contributed to shaping BESCOM's path in future energy trends and sustainable EV charging.

Utilized advanced data analysis methods to extract insights from energy consumption patterns, demand shifts, and EV adoption rates.

Informed strategic decisions for infrastructure planning, load anticipation, and resource allocation.

Evaluated EV charging infrastructure, optimizing station utilization, peak-hour energy demand, and customer behavior trends.

Applied predictive modeling techniques to forecast energy needs and consumption patterns, accommodating EV growth and new energy sources.

Employed predictive models for capacity expansion and grid optimization strategies. Electrical Engineer, CLAIR ELECTRICAL AND NETWORK SOLUTIONS., Bengaluru Time Period: JUL 2017 – SEP 2017

On-site experience in infrastructure projects execution with multidisciplinary teams.

Ensured electrical systems and requirements for industrial buildings and commercial projects.

Technical skills in planning, design, and engineering of industrial power distribution systems.

Prepared electrical load calculations for single and three-phase loads, voltage drop, short circuit calculations, LPS, and Earthing systems.

Designed electrical circuits in AUTOCAD for Residential, Commercial and Industrial Projects. Electrical Engineer, BANGALORE TELE SYSTEMS., Bengaluru Time Period: JUN 2016 – JUN 2017

Accomplished Planning and Design Engineer specialized in electrical engineering, adept at conceptualizing, planning, and executing diverse electrical projects.

Proficient in innovative design, technical precision, and project management, delivering efficient and sustainable electrical solutions.

Successfully planned and designed electrical systems across sectors: commercial, residential, and industrial projects.

Developed intricate electrical layouts, schematics, and blueprints meeting industry standards and local codes.

Championed energy efficiency and sustainability by integrating renewable energy sources and efficient components.

Led design and documentation production for small and large electrical projects at Bangalore Tele Systems.

Conceptualized designs for specific projects, ensuring compliance with regulatory requirements and quality standards.

Conducted site inspections to verify compliance with construction documents and resolved design issues during construction phase.

Skilled in performing calculations for wire and conduit sizing, panel and breaker sizing, fault current calculations, light fixture specifications, and photometric design. EDUCATION

Bachelors in Electrical and Electronics Engineering Visvesvaraya Technological University

Pre-University in Computer Science

KLE Independent PU College

HOBBIES & INTERESTS

Badminton, Movies, Swimming, Sustainability

RAVIKIRAN S

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