Hrishikesh Kini

Bachelor of Computer Application

June 2018 - October 2021

Relevant Coursework

• Android Programming
• Database Management system
• Web Technology

Higher Secondary (Science Stream)

June 2016 - May 2018

Relevant Coursework

• Mathematics
• Computer Science
• Physics

ASBL

September 2022 - November 2023

Data Analyst

Cross-Functional Maestro:
Harmonized collaborations with marketing, product teams, and stakeholders, unveiling data insights and strategic recommendations.
• Achieved a 25% ROI surge through data-driven marketing optimizations, reducing CAC by 20%.
• Spearheaded product launches, elevating MAU by 30%, and cutting Time to Value by 15%.
• Monitored Feature Usage Rate, ensuring a 25% boost in customer engagement.
• Implemented video metrics, yielding a 40% increase in engagement and 25% higher retention.
• Enhanced video content, contributing to a 20% growth in average watch time.

Key Skills: Collaborative Leadership, Data-Driven Strategies, Stakeholder Engagement.


Big Data & Database Optimization:
Trimmed data loading times by 40%, ensuring timely access to critical information. Contributed to a 25% increase in database performance.

Key Skills: Big Data Optimization, Database Performance, Data Loading Efficiency.


Revolutionizing Customer Support:
Transformed support with an advanced Sales Executive Chatbot, leveraging cutting-edge language models, language chaining, and real-time web scraping. Achieved 40% faster response times, boosting customer satisfaction by 25%. Liberated sales executives for critical tasks, saving 15 hours weekly, and amplifying productivity and revenue generation.

Key Skills: Chatbot Development, Customer Satisfaction Enhancement, Productivity Improvement.


OCR Excellence: Image-to-Text Transformation:
Delivered an OCR project with a 95% accuracy rate, enhancing extraction efficiency by 35%. Implemented data preprocessing, resulting in a 30% OCR enhancement.

Key Skills: OCR, Image-to-Text Transformation, Data Preprocessing.


R&D Achievements:
Pioneered R&D, advancing data analytics methodologies with groundbreaking approaches. Explored innovative data science techniques, ensuring continuous evolution and trend awareness.

Key Skills: Research and Development, Innovative Methodologies, Trend Awareness.

Dynamind

June 2022 - September 2022

Data Analyst Intern

Responsibilities:

Recommendation Engine Development:
• Designed and implemented a recommendation engine, leveraging collaborative and content-based filtering methodologies.
• Resulted in a significant 45% boost in user engagement, enhancing the overall user experience.

Automation of Mentor-Mentee Matchmaking System:
• Automated the mentor-mentee matchmaking system for doubt clearing, reducing manual efforts.
• Achieved a time and cost savings of 15 hours, streamlining processes and improving overall efficiency.

Exploratory Data Analysis and Dashboard Creation:
• Conducted exploratory data analysis on various datasets, extracting actionable insights to inform business strategies.
• Developed interactive dashboards using Python, Tableau, and Advanced Excel, providing a visual representation of key performance metrics.

Technologies Used:
• Python
• Tableau
• Advanced Excel

Impact:
• Enhanced operational efficiency by automating time-consuming manual processes.
• Empowered decision-making through insightful data analysis and visualization.
• Contributed to a significant improvement in user engagement, fostering a more personalized user experience.

The Sparks Fundation

April 2022 - May 2022

Data Science Intern

• Gathered, reviewed, analyzed, and implemented data requirements effectively by creating algorithms based on deep-dive statistical analysis & predictive data modeling.
• Deploying quantitate analysis and data visualization to present data. Design, run and measure experiments to test business hypotheses.
• Performed Trend Analysis on Data and applied best practices of problemsolving and effective communication.

Ineuran.ai

January 2022 -March 2022

Machine Learning Intern

• Performed tasks like data exploration, data cleaning, and feature engineering on the data, where data extracted from the Cassandra database.
• Trying out different machine learning and deep learning algorithm to increase the accuracy of model, follwed by hyperparameter tuning to optimise the accuracy or score
• Writing and maintaining requirement documents for different strategies used in project building (High-level Document, Low-level document, Architecture, wireframe).
• Deploying machine learning models on the cloud (Heroku) and exposing a complete solution as an API.

Languages and Databases

Cloud and MlOps

Frameworks

Big Data And Databases

Tools