Hi, I'm Aaditya
I am
Aspiring Data Scientist | Former Intern @ Bristlecone | VIT Vellore'25
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About Me
My introduction
Hi, I'm Aaditya, currently pursuing Computer Science Engineering at VIT Vellore. My academic journey reflects a consistent performance with a GPA above 9. Specializing in data science, I've undertaken various impactful projects that highlight my analytical skills. As an AWS Certified Cloud Architect, I bring expertise in implementing robust and scalable cloud solutions. Beyond academics, I'm driven by a passion for innovation, aiming to make a significant impact in the intersection of data and cloud technologies. With a strong foundation and hands-on experience, I'm excited about contributing to cutting-edge advancements in the field.
Skills
My Technical SkillsC/C++
HTML
CSS
JavaScript
Python
R Coding
MySQL
Github
AWS Cloud Practitioner
AWS Solution Architect
Data Structures
Qualifications
My Educational QualificationBTech CSE Core
VIT Vellore9.2 CGPA
Senior Secondary Education
Modern Delhi Public School, Faridabad97%
Secondary Education
Apeejay School, Faridabad95%
Projects
Most recent work
Sentiment Analysis
Conducted comprehensive Sentiment Analysis on diverse user reviews of iPhone 14, employing robust analytical techniques to distill nuanced sentiments. Leveraged cutting-edge methodologies to discern and classify intricate emotional tones within the extensive dataset. Produced insightful findings showcasing the collective sentiment landscape, contributing pivotal insights for product enhancement strategies. Employed advanced Natural Language Processing (NLP) algorithms to dissect and interpret sentiments, unveiling invaluable consumer perceptions. This project exemplifies adeptness in extracting meaningful insights from complex data, pivotal for informed decision-making and product optimization.
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Data Analysis Capstone Project
Spearheaded comprehensive data analysis of Cyclistic company utilizing R coding, Excel, and Tableau • Formulated actionable strategies aimed at persuading casual riders to transition into purchasing annual memberships. • Developed intricate visualizations using ggplot in R and created engaging, interactive Tableau dashboards; showcased data-driven insights to drive decision-making and enhance customer experience. • Highlighted proficiency in data cleaning using R coding and Excel, resulting in streamlined processes and enhanced data accuracy
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Resume Analysis Using Deep Learning
Title of Chapter: Resume Analysis Using Deep Learning
• Title of Book: Artificial Intelligence Language Learning And Communication: Exploring The Intersection Of Technology And Education
• Publisher: L Ordine Nuovo Publication
• Month of Publishing: June 2023
• ISBN: 978-93-92995-51-4
• Chapter 8 - Page 106
• End Result: Improved Resume Quality by more than 75%
Movie Hits
I had analyzed the scripts of 10 romantic Bollywood hits. In the end, I listed down the words or phrases common in these 10 movies. Based on these words, I created a predictive model that could predict whether a movie was going to be a hit or a flop based on its script.
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Automated Multi Face Recognition
Publication: Automated Multi Face Recognition Based Attendance System using Deep Learning Models Publication Link • Role: Author • Title of Chapter: Automated Multi Face Recognition Based Attendance System using Deep Learning Models • Title of Book: International Conference on “Research Trends in AI and IoT for Infrastructure and Industry” AIIII 2024 • Publisher: Veda Publications • Month of Publishing: March 2024 • ISBN: 978-93-91930-97-4 • End Result: Implemented an automated attendance system, resulting in a 35%reduction in teaching time for a standard class by streamlining administrative processes.
IPL Winner Predictor
The cutting-edge IPL winner predictor offers key insights: PBKS and LSG prioritize all-rounders, while RR focuses on bowlers. CSK's age dynamics shift, with PBKS leading in experience. Batting performances highlight MI's strength, while PBKS emerges as a favored contender. Strategic analysis favors PBKS, while LSG showcases formidable bowling. Top contenders include PBKS, LSG, and RR, with MI facing team dynamics challenges and CSK's top-four prospects uncertain.
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IPL Player Analysis
Comprehensive IPL player analysis employing advanced statistical metrics such as batting average, bowling average, strike rate, highest score, and match appearances for all 1052 players. Results facilitate strategic player selection tailored to specific team requirements, maximizing performance potential.
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IPL Tweet Analysis
Cutting-edge IPL tweet analysis project determines daily tweet volume per city in India during the IPL season. Insights empower geo-targeted marketing strategies, facilitating precise audience engagement and maximizing ROI during IPL campaigns.
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