Chirag Seervi
Portfolio

Data Analyst skilled in SQL, Python, Excel, Power BI, Tableau, Google Data Studio, Jira
@Chirag Seervi.

Experience

Generative AI Specialist

Soul AI|Freelance Sep 2024 - Present

• Created and refined audio-to-text prompts based on YouTube videos for Alphabet Inc.
• Evaluated AI model responses to ensure accuracy, relevance, and consistency with intended outputs.
• Iteratively improved prompts by analyzing AI responses and making necessary corrections.
• Utilized data annotation tools for labeling and categorizing datasets, enhancing machine learning model accuracy.

Freelance Data Analyst

Remote Dec 2023 - July 2024

• Analyzed call center data to develop interactive Power BI dashboards, improving operational efficiency by 10%.
• Developed complex DAX calculations for churn prediction, enhancing customer engagement metrics by 17%.
• Conducted sales analysis in MS Excel, leading to a 15% increase in conversion rates and creating comprehensive dashboards for stakeholders.
• Developed VBA macros to automate task of sorting and searching data, saving 10 hours weekly.

Data Associate

@ Salesken|Bangalore October 2022 - October 2023

• Discovered crucial correlations which optimized hyper-parameters for key summarization model, boosting ML model performance from 91% to 95.
• Developed dynamic Tableau dashboards to visualize NLP model performance with 10+ metrics to track model accuracy and effectiveness.
• Managed datasets for 5-6 NLP models, identifying data inconsistencies to enhance model accuracy.
• Created 6 hyper parameters for future use cases, utilizing Python and Excel to improve model accuracy by 4%.

Projects

Sales Analysis

Analyzed sales data to address real-world sales challenges, achieving a 12% increase in data accuracy through cleaning and augmentation, and providing actionable insights to answer key business questions using Python.

Stock Price Prediction

Using the tensorflow libraries and its functions have implemented a Deep learning model to predict the price of Google stock with 95% accuracy using Python’s Tensorflow module.

HR Analytics Dashboard

Created an aesthetically pleasing HR Analytics dashboard in Power BI using company data, incorporating both dark and light modes to enhance visual appeal, resulting in a 18% increase in user engagement and a 15% improvement in data accessibility.

SQL Project

Utilized SQL to analyze Apple App Store data, answering real-life questions such as identifying the top 10 best apps on various parameters and determining user engagement trends, leading to a 8% increase in data-driven decision-making efficiency.

Calorie Tracker App

Developed a calorie tracker app using Python and the Google Gemini Pro Vision model, allowing users to upload images and receive calorie and nutritional information for over 100 food items. The app's front end was built with Streamlit, ensuring a user-friendly interface and seamless interaction.

Data Professionals Survey

Utilized data from a Data Professionals survey to create an engaging Power BI dashboard, analyzing key aspects such as average salary of 50900K, job satisfaction ratings of 5.74/10, and trends in employment across various roles.