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Nikita Ravi
Data Analytics Professional

Hello, I'm Nikita Ravi

Specializing in data engineering, visualization, and machine learning with a focus on delivering actionable insights and optimizing system performance.

About Me

My Background & Expertise

A passionate data professional with experience in transforming complex data into actionable insights

Nikita Ravi

Professional Summary

I am a data analytics professional with experience in database optimization, data visualization, and machine learning. My background spans from data engineering to predictive modeling, with a focus on delivering actionable insights and optimizing system performance.

Technical Expertise

Proficient in Python, SQL, and various data science tools, with a strong foundation in statistical analysis and machine learning algorithms.

Data Visualization

Creating clear, insightful visualizations that transform complex data into actionable business intelligence.

My Approach

I believe in the power of data to transform businesses and drive innovation. My approach combines technical expertise with a strong focus on business outcomes, ensuring that data solutions deliver real value.

Data-Driven Decision Making

Empowering organizations to make informed decisions based on robust data analysis.

Continuous Learning

Staying at the forefront of data analytics technologies and methodologies.

Collaborative Problem Solving

Working closely with stakeholders to understand needs and deliver tailored solutions.

Future Focus

I'm passionate about exploring the intersection of data science and emerging technologies like AI and machine learning to create innovative solutions for tomorrow's challenges.

Professional Journey

Work Experience

My professional career and key accomplishments

September 2022 - July 2024
Bangalore, India

Associate Data Engineer

Digitalsoft AI Solutions India Pvt Ltd

Key Achievements

Optimized database performance by leading the migration from NoSQL to SQL, revamping schemas, and reducing operational costs by 30%.
Developed a Kanban/Swimlane dashboard to enhance user experience, implementing intuitive UI components and backend logic for seamless document management.
Implemented a role-based authentication system in AngularJS, improving data security and access control for diverse user roles.
Collaborated with engineers and project managers to analyze user data logs to identify trends in feature usage, leveraging insights to prioritize high-impact features, boosting customer satisfaction and revenue.
Improved query performance by 25% through database optimizations, ensuring faster data retrieval and a smooth user experience.
Leveraged data visualization techniques in Tableau to present actionable insights on feature adoption, customer engagement, and system performance.
April 2022 - June 2022
Dubai, United Arab Emirates

Information Technology Engineer

Bio Environment Services Technology LLC

Key Achievements

Revamped website architecture by leading website development and debugging efforts, resulting in a 20% increase in online sales within the first month.
Independently designed and implemented an automation process that streamlined customer service operations, reducing manual workload by 60%.
Diagnosed and resolved critical technical issues, ensuring a seamless workflow and uninterrupted business operations.
Academic Background

Education & Qualifications

My academic journey and educational achievements

Master of Science in Data Analytics

The George Washington University

Expected May 2026
Washington, DC

Program Overview

Focusing on advanced data analytics techniques, machine learning algorithms, and business intelligence applications. Developing expertise in predictive modeling and data-driven decision making.

Key Courses
Advanced Machine Learning
Big Data Analytics
Statistical Methods
Data Visualization

Currently pursuing with a focus on advanced data analytics and machine learning applications.

Bachelor of Engineering in Computer Science and Engineering

Dayananda Sagar College of Engineering

August 2017 - August 2021
Bangalore, India

Program Overview

Gained a strong foundation in computer science principles, software development, and data structures. Specialized in data analytics and machine learning applications.

Key Courses
Database Management Systems
Data Mining
Artificial Intelligence
Web Technologies
Portfolio

Featured Projects

Showcasing my technical expertise and problem-solving abilities

Selected Work

NYC Taxi Data Analytics
November 2024
1/4

NYC Taxi Data Analytics

Developed predictive models for trip duration, fare amount, tip percentage, and payment type using Random Forest and Gradient Boosting, achieving an R² of 76.7% for trip duration predictions. Identified congestion hotspots and peak demand hours through geospatial analytics, aiding urban traffic management.

Key Highlights

Processed and analyzed over 1 million taxi trip records
Created interactive dashboards for real-time monitoring
Implemented machine learning models with 76.7% accuracy
Developed geospatial visualizations of traffic patterns
PythonMachine LearningGeospatial AnalyticsRandom ForestGradient Boosting

Skills & Expertise

My technical proficiencies and competencies

Skill Categories

Programming Languages

Proficient in multiple programming languages for data analysis, web development, and automation.

Python

Data analysis, machine learning, automation

SQL

Database querying, optimization, stored procedures

R

Statistical analysis, data visualization

JavaScript

Web development, interactive dashboards

HTML/CSS

Frontend development, responsive design

C

System programming, algorithm implementation

Additional Competencies

Project Management
Technical Documentation
Data Storytelling
Agile Methodologies
Problem-Solving
Cross-functional Collaboration

Publications

My research contributions and academic work

June 2021
IJRAMT
DOI: 10.1234/ijramt.2021.12345

Further Study on the Identification of Predictive Capability of Classifiers for Early Heart Disease Detection Using Machine Learning

Abstract

This study evaluates various machine learning classifiers for early heart disease detection, comparing their predictive capabilities and identifying the most effective approaches for clinical applications.

Keywords

Machine LearningHeart DiseaseClassificationPredictive ModelingHealthcare

Upcoming Research

Currently working on new research in predictive analytics for healthcare outcomes, with a focus on early intervention strategies. Expected publication in late 2025.

Career Opportunity

Available for New Opportunities

I'm currently open to new data analytics and machine learning opportunities. Let's discuss how my skills can benefit your organization and drive innovation through data-driven solutions.

Get in Touch

Let's connect and discuss opportunities

Contact Information

Location

Washington, DC

Connect with me

Send a Message