About Me

I am Archit Kiran Kumar, a passionate learner and builder currently pursuing my Master of Science in Computer Science at Boston University. My journey has been fueled by a deep curiosity for big data, visualization, data analysis, data science, and front-end design.

I love tackling real-world problems with technology, whether it’s through scalable applications, data-driven insights, or intuitive user experiences. My approach combines creativity with analytical thinking, and I’m always pushing myself to explore new tools and frameworks to stay ahead in this ever-evolving field.

Education

Boston University

Master of Science in Computer Science (September 2025 – Present)

Specializing in advanced algorithms, distributed systems, applied data science, cloud computing, and data system architecture. My projects emphasize predictive analytics, secure systems, and scalable architectures, preparing me to build reliable, data-driven solutions that bridgeanalytics andsoftware development.

Ramaiah Institute of Technology

Bachelor of Engineering in Computer Science (Graduated June 2025)

Built a solid foundation in computer science fundamentals such as Data Structures, operating systems, computer networks, and blockchain. Led and contributed to projects in IoT security,traffic data analysis, and post-quantum communication frameworks. Represented my work at national exhibitions and received the Best Project Award, validating both technical ability and practical problem-solving.

Work Experience

Data & Front-End Developer Intern — Millicent Technologies

(2025)

Partnered with product owners to collect and analyze client requirements; helped make client websites, debug, and build interactive KPI dashboards, improving decision-making speed by 25%. Analyzed engagement and traffic metrics to deliver actionable recommendations that reduced churn and increased retention by 10%. Coordinated cross-functional teams to ensure smooth delivery of client applications, maintaining 100% on-time completion rate.

Data Analyst Intern — InternPE

(2024)

Built automated SQL workflows and Python analytics scripts that reduced weekly reporting workload by 35%. Analyzed 50K+ records using Machine Learning basics, descriptive statistics, and validation checks to improve insight reliability. Developed Excel dashboards for operational metrics, KPI tracking, and client reports adopted by leadership. Led Data Cleaning, normalization, and schema standardization improving dataset integrity by 22%.

AICTE Programs (Volunteer)

(2022 – 2023)

Helped spread computer science awareness and promoted environmental cleanliness. Experiences here strengthened leadership, teaching, and community-focused communication.

Skills

Data Analysis

Business Analytics

Exploratory Data Analysis (EDA)

Statistical Analysis

Python

Pandas

NumPy

PySpark

SQL (Joins, CTEs, Window Functions)

Data Visualization

Matplotlib / Seaborn

Plotly

Dashboard Design

Storytelling with Data

Machine Learning (scikit-learn)

Regression & Classification

Feature Engineering

Model Evaluation

ETL Pipelines

Big Data Processing

REST APIs

Cloud Basics (AWS/GCP concepts)

Git / GitHub

Excel (Advanced)

Postman

Jupyter Notebooks

Beyond Technology

Fitness & Discipline

Regular training keeps me focused and consistent. Fitness builds discipline that reflects in my professional life.

Team Collaboration

I thrive in collaborative environments, valuing clear communication and shared ownership of projects.

Clean & Sustainable Living

I care about sustainability and actively participate in community cleanliness and awareness programs.

Continuous Learning

Always curious and engaged with new technologies, frameworks, and concepts to expand my expertise.

Global Perspective

Exposure to diverse teams and cultures has given me a broader outlook on problem-solving.

Problem-Solving Mindset

I enjoy breaking down complex problems and creating elegant, scalable solutions.