CodeRush August '23

Bachelor of Computer Applications

Data Science

Data Analyst

○&nbsp;Conducted market analysis for emerging technologies, resulting in the identification of three high-potential tech ventures, contributing to a 15% increase in potential investment.○&nbsp;Developed financial models and projections for start-ups, improving the accuracy of financial forecasts by 20%.○&nbsp;Collaborated with cross functional teams to access the viability of new tech ventures, leading to the successful vetting of five start-ups for further consideration.○Presented findings and strategic recommendations to senior management, enhancing decision making process and securing approval for two new investments.

Tech Venture Intern

<ul><li>Crafted data visualizations that markedly improved data understanding, accelerating decision-making by a noteworthy 8%.</li><li>Conducted rigorous data cleaning and preprocessing, yielding a noteworthy 4% improvement in data quality and accuracy.</li></ul>

Data Science Trainee

<ul><li>Orchestrated 5 hackathons, conducted 10 coding competitions, and hosted 15 tech talks, yielding a 30% enhancement in students' technical proficiency.</li><li>Guided 3 collaborative projects, demonstrating practical applications of Microsoft technologies, earning recognition and adoption from industry experts.</li><li>Mentored 100 students, leading to 20 successful placements in top technology firms.</li></ul>

Student Ambassador

•Engineered precise and expert-level interactive data visualizations and dashboards, significantly enhancing data comprehension and improving decision-making efficiency by 20%. •Delivered impactful data visualizations, resulting a 20% increase in the efficiency of data-driven decision-making processes.

Business Analyst Intern

○ Engineered data visualizations that significantly enhanced data understanding, accelerating decision-making by 8%.&nbsp;○ Conducted rigorous data cleaning and preprocessing, achieving a notable 4% improvement in data quality and accuracy.&nbsp;○ Analyzed large datasets to identify trends and patterns, providing actionable insights for business decision-making.&nbsp;○ Collaborated with cross-functional teams to identify critical business challenges and opportunities for effective application of data science techniques, resulting in implementing data-driven solutions that increased cost savings by 25%.&nbsp;○ Assisted in deploying data analysis reports and dashboards, ensuring seamless integration with existing systems and reducing deployment time by 40%.&nbsp;

Data Analyst Intern

Babu Banarasi Das University, Lucknow, Lucknow

India

I'm a driven final year BCA student specializing in Data Science & AI, passionate about leveraging technical skills to solve real-world problems and explore cutting-edge technologies. Equipped with a strong foundation in data analytics, SQL, Python, and Java, I'm proficient in ferramentas like Power BI, Excel, Jupyter Notebook.

This project showcases an interactive e-commerce sales dashboard created using [Power BI/Tableau/other tool]. The dashboard provides comprehensive insights into sales performance, customer behavior, and other key metrics to help drive business decisions.

Madhav E-commerce Sales Dashboard

Welcome to the Heart Attack Prediction Web App! This application helps predict the likelihood of a heart attack based on various health parameters.Features<ul><li>User-friendly interface</li><li>Input parameters such as age, gender, blood pressure, cholesterol levels, etc.</li><li>Prediction results based on machine learning algorithms</li><li>Visual representation of risk factors</li></ul>

Heart Attack Prediction Web App

This project is a sentiment analysis model trained on Amazon reviews using the RoBERTa model from the Transformers library in Natural Language Processing (NLP).

Amazon Reviews Sentiment Analysis

This project is a web application for performing sentiment analysis on Amazon reviews. It uses the NLTK library's VADER sentiment analysis tool to classify reviews as positive, negative, or neutral, and provides a visual representation of the sentiment distribution.

Amazon Reviews Sentiment Analysis Web App

Mihir A.I is a Python-based voice assistant that integrates various functionalities, including speech recognition, natural language processing with OpenAI's GPT-3, web browsing, and task automation. The assistant enables users to interact through voice commands and responds using both pre-defined actions and intelligent chat capabilities.

Mihir A.I - Voice Assistant

Welcome to the Java Complete Guide Repository! This repository contains comprehensive resources and examples to help you learn Java programming from the basics to advanced topics.

Java Complete Guide

Welcome to the Data Science Guide Repository! This repository contains comprehensive resources and examples to help you learn Data Science concepts and tools.

Data Science Complete Guide

Welcome to the Python Complete Guide repository. This repository contains a comprehensive collection of Python tutorials and implementations covering various topics. Below is an overview of the folders and their contents.

Aditya SrivastavIndia

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