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Mid-Level Data Scientist | ML · Statistical Modeling · Python · Flask APIs | Solving Real-World Problems with Data
With a Master's in Data Science and a background spanning computer science, analytics and implementing data analytics into full-stack development, I bring a rare blend of technical depth and business acumen to every project. Based in Dubai, I currently work as a Research Analyst, where I partner with international clients to build Power BI and Tableau dashboards, develop financial forecasting models, and shape data-driven strategies that influence real business outcomes. I have hands-on experience across the full data lifecycle from ETL pipeline design and machine learning model development to CRM integration and interactive reporting using tools like Python, R and modern web technologies. I also bring a collaborative edge, having led cross-functional projects and mentored team members through complex analytical challenges. At my core, I am driven by one goal: turning messy, complex data into clarity that helps organizations make smarter decisions and grow with confidence
Sharda University
Master of Science - MS, Data Science & Analytics
January 1, 2022 – January 1, 2024
Tribhuvan University
Bachelor of Science, Computer Science and Information Technology
January 1, 2014 – January 1, 2018
Devisers Immigration Advisers
Business Research Analyst
February 1, 2025 – March 1, 2026
Dubai, United Arab Emirates · On-site
CloudChomp, Inc.
Software Engineer
November 1, 2020 – February 1, 2021
United States · Remote
Icon Associates
BI Developer
September 1, 2020 – March 1, 2021
Lalitpur District, Nepal · Remote
Rooster Logic Pvt. Ltd
Python Developer (Data Analytics)
March 1, 2019 – November 1, 2020
Kathmandu, Bāgmatī, Nepal · On-site
Podamibe Nepal Pvt. Ltd.
BI Analyst
December 1, 2018 – January 1, 2019
Lalitpur District, Nepal · On-site
Comparison of Three Regression Models using R (2019)
May 31, 2026 – Present
Technology Used: R, Rpubs The objective is to predict the "Chance of Admit" based on various criteria (GRE Score, TOEFL Score, University Ranking, SOP, LOR, CGPA, and Research Experience) using Multiple Linear Regression, Random Forest Regression, and Decision Tree Regression in R.
Turf Analysis (2017)
May 31, 2026 – Present
Technology Used: Python Python Script to create table for reach and frequency table with possible configurations. TURF Analysis or Total Unduplicated Reach and Frequency Analysis, is a statistical research methodology that enables the assessment of potential of market research for a combination of products and services by analyzing the number of customers reached and the frequency of customers.
Rate and Rank Visualization (2018)
May 31, 2026 – Present
Technology Used: Python, Flask, HTML, CSS, JS Web application using Flask and Python for analyzing rate and rank data in csv format. The application includes features for overall rank analysis, rank priority, NPS (Net Promoter Score) and combined mean analysis, with a gauge displaying the mean and KPIs for minimum and maximum values.
Smart Application for Identification of Medicinal Plants
May 31, 2026 – Present
New India Vibrant Hackathon 2023 (Finalist) Organized by: Gujarat Knowledge Society under SSIP 2.0 Problem Statement: Smart Application for Identification of Medicinal Plants Technology Used: HTML, CSS, Bootstrap, Python, Flask, MySQL, Inception v3, ImageNet, OpenCV, TensorFlow Role: System Architecture Design, Web Frontend and Backend Lead, API Design, Module Integration
Development of a Stock Price Predictor: Integrating Statistical Methods, Predictive Modeling and Web Technologies
January 1, 2024 – Present
Technology Used: Python, Flask, HTML, CSS, JS The objective of this project is development of a Stock Price Predictor utilizing a comprehensive approach integrating statistical methods, predictive modeling and web technologies. Proficient in conducting Beta analysis and correlation studies to understand stock movements and market trends and utilizes regression analysis, Support Vector Machines (SVM), and ARIMA models for accurate stock price predictions along with interactive web dashboards to visualize insights effectively.
Big Data 101
IBM
June 30, 2026 – Present
Data Science Essentials
Microsoft
June 30, 2026 – Present
Applied Machine Learning
Microsoft
June 30, 2026 – Present
Querying with Transact-SQL
Microsoft
June 30, 2026 – Present
Analyzing and Visualizing Data with Power BI
Microsoft
June 30, 2026 – Present
Principles of Machine Learning
Microsoft
June 30, 2026 – Present
Essential Statistics for Data Analysis using Excel
Microsoft
June 30, 2026 – Present
Microsoft Professional Program in Data Science
Microsoft
June 30, 2026 – Present
Introduction to R for Data Science
Microsoft
June 30, 2026 – Present
Programming with R for Data Science
Microsoft
June 30, 2026 – Present
Microsoft Professional Capstone : Data Science
Microsoft
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science, machine learning, and web application development, which aligns well with an ML Engineer role. The diversity of projects, from stock price prediction to medicinal plant identification and BI dashboards, indicates adaptability and a broad interest in applying data science across different domains. The experience as a Business Research Analyst, while not directly technical, demonstrates an understanding of business context and data-driven decision-making. However, the professional experience leans heavily towards BI and data analytics rather than pure ML engineering, which might require some adjustment to a dedicated ML engineering culture.
Soft Skills & Operational Fit
The candidate's project experience, particularly leading the 'Smart Application for Identification of Medicinal Plants' hackathon project, suggests leadership potential and the ability to integrate various technical components. Their role as a Business Research Analyst also indicates strong analytical and problem-solving skills, crucial for understanding business needs and translating them into technical solutions. The description of evaluating tasks for interns at Rooster Logic Pvt. Ltd. suggests mentoring and team collaboration skills. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.