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Data Analyst @ TCS R&D| MSc Statistics |Content Writer @Medium
It's not every day that you come across someone who can transform complex data into clear insights while having a good laugh along the way—but that's me! I'm Ashish Shejawal, an MSc Statistics graduate with a story rooted in resilience. Coming from a humble background, I've transformed challenges into opportunities, evolving into a statistics enthusiast and a strong-minded individual. Statistics isn't just an academic pursuit for me; it's a calling that fuels my passion for uncovering the stories data can tell. I'm all about bridging the gap between theoretical knowledge and practical application, using my skills in Python, R, SQL, and BI tools like Excel and Power BI to transform raw numbers into actionable insights. Beyond the classroom, my secret weapon is sports, which have instilled in me qualities like teamwork, resilience, discipline, and a relentless pursuit of excellence. These traits seamlessly carry over into my professional endeavors, helping me stand out from the crowd. As a job seeker, I'm on a journey of continuous learning and growth. I thrive on challenges and view them as opportunities to expand my skill set. I'm eager to apply my statistical expertise in real-world settings, contributing to data-driven decision-making. If you're searching for a passionate individual who not only comprehends statistics but also knows how to turn data into tangible outcomes, let's connect! I'm excited to explore opportunities where I can contribute meaningfully, grow professionally, and make a lasting impact. Let's embark on this data-driven adventure together—where passion meets precision and translates into success!
Department of Statistics, Shivaji University, Kolhapur
Master's degree, Statistics
January 1, 2022 – January 1, 2024
Shivaji University, Kolhapur
Bachelor's degree,Statistics, Statistics
July 1, 2019 – June 1, 2022
Balasaheb Desai College, PATAN
Higher Education (12th std), Science
June 1, 2018 – February 1, 2019
Shivajirao Desai Vidyalay Sonavade
Secondary School (10th std)
June 1, 2016 – March 1, 2017
Tata Consultancy Services
Data Analyst
May 1, 2025 – Present
On-site
Medium
Content Creator
March 1, 2025 – Present
Orelse Technologies Pvt Ltd
AI and ML Intern
May 1, 2024 – October 1, 2024
Kolhapur, Maharashtra, India · Remote
A/B Testing for Game Gate Placement
December 1, 2024 – February 1, 2025
A/B testing project aimed at evaluating the impact of moving the game gate from Gate 30 (Level 30) to Gate 40 (Level 40) on player engagement and retention. Analysis of 90,189 players showed that Gate 30 performed better, with 6.25% higher game rounds played and Day 7 retention rates that were 4.5% higher than Gate 40, a statistically significant improvement. Hypothesis testing confirmed Gate 30 as the optimal placement for maintaining player engagement and long-term retention.
Chatbot Developer | EcoBot Project
May 1, 2024 – November 1, 2024
Project aimed at building a chatbot to satisfy customer queries and recommend products and services based on customer profiles and purchase history. Designed conversational paths and stories, utilized LLMs to handle open-ended queries, and integrated REST APIs for database operations (e.g., user registration). Additionally, the chatbot was connected to a recommendation system for personalized suggestions. The implementation reduced response time by 30%, significantly improving customer satisfaction and operational efficiency.
Hostel Expense Management Dashboard (Power BI)
October 1, 2023 – March 1, 2024
Data Analysis problem statement focused on financial planning and expense reduction. Collected data using Google Forms for 4 months, employing sampling techniques. Performed data preprocessing, exploratory data analysis (EDA), and hypothesis testing. Analysis shows that, on average, students spend ₹15 daily, totaling ₹450 monthly. Students who live very close to or far from home spend more, and weekend expenses are higher than on normal or exam days. MSC Part 1 students spend more than Part 2 students on non-exam days, while MSC Part 2 students spend more during exams. Low-IQ students tend to spend more on non-exam days, but high-IQ students outspend them during exam days. High IQ students from poor backgrounds spend less overall. Among students from high-income families, female students tend to spend more money than their male counterparts.
Analyzing Trader Behavior During the COVID-19 Pandemic
January 1, 2022 – April 1, 2022
Data analysis project aimed at studying trader behavior during the COVID-19 pandemic. Collected data via Google Forms using sampling techniques from WhatsApp and Telegram groups. Conducted data preprocessing and exploratory data analysis (EDA). Performed hypothesis testing using the Chi-square test of independence. Analysis shows that age and family income influence risk-taking capacity, while research before trading and joining paid courses impact satisfaction levels. Enrollment in paid courses affects the use of stop-loss strategies. Most participants are bullish, driven by speculation and the pursuit of high returns.
Optimizing Staffing Through Attendance Analysis
January 1, 2022 – February 1, 2022
Probability analysis project aimed at identifying understaffed situations due to employee absences. Defined a random variable for daily absences, plotted a histogram, and fitted a probability distribution using the Chi-square test. The findings revealed a 0.065 chance of more than 20 employees being absent on any given day, occurring around 24 times annually, aiding in better staffing and resource planning
Programming in Python
SWAYAM MHRD
June 23, 2026 – Present
Statistics for Data Analysis Using Excel 2016
Udemy
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data analysis and machine learning applications, aligning well with an ML Engineer role. The diversity of projects, from A/B testing to chatbot development and financial analysis, indicates adaptability and a broad interest in applying data science techniques. The academic background in Statistics further strengthens the fit for a data-centric role. However, the lack of explicit team-based projects beyond the internship description makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and the ability to translate data insights into actionable recommendations. Project descriptions highlight teamwork and communication, particularly in the EcoBot project. The content creator role suggests good written communication skills, which are valuable for documentation and stakeholder communication. The candidate's academic background in Statistics provides a solid theoretical base for data-driven roles.