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Data Science with less than a year in Data Analytics & BI
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CSE graduate with a strong foundation in Data Analytics, Business Intelligence, and Artificial Intelligence. Proficient in Python, SQL, Power BI, and Machine Learning, with hands-on experience building end-to-end BI solutions, predictive models, and AI-powered applications. Currently pursuing an MS in Data Science & Analytics at East West University, with a focus on leveraging data-driven insights and generative AI to solve complex business problems. Passionate about transforming raw data into actionable intelligence that drives strategic decisions and innovation.
East West University
MS · Data Science & Analytics
May 1, 2026 – Present
Ahsanullah University of Science & Technology (AUST)
B.Sc. · Computer Science & Engineering
January 1, 2021 – January 1, 2025
Birshreshtha Noor Mohammad Public College
Higher Secondary Certificate · Science
January 1, 2018 – January 1, 2020
Ideal School and College
Secondary School Certificate · Science
N/A – January 1, 2018
CartUp
Executive - Incubation
October 1, 2025 – April 1, 2026
India
Cyclistic BI Project
June 25, 2026 – Present
Built an end-to-end BI solution using SQL and Power BI to analyze Citi Bike trip data, census boundaries, and weather datasets. Developed ETL pipelines for geo-enrichment; defined KPIs including subscriber vs. casual usage, peak demand, YoY growth, and weather impact. Delivered dashboards (<3s load time) covering 12+ months of data; identified 5+ candidate sites for network expansion.
CycleStore
June 25, 2026 – Present
Built a real-time sales and customer analytics dashboard using Power BI and DAX with automated KPI tracking. Delivered insights that improved decision-making efficiency by 18% and reduced manager reporting time.
GameStore - Sales Insights Dashboard
June 25, 2026 – Present
Developed an interactive dashboard to monitor sales KPIs, revenue trends, and customer behaviour across product genres and seasons.
Postpartum Depression Prediction
June 25, 2026 – Present
Built Python ML models (scikit-learn) achieving 88% accuracy and 0.84 F1-score for early detection via predictive analytics on health datasets.
Air Quality Monitoring Device
June 25, 2026 – Present
Integrated IoT sensors with Python ML models for real-time AQI monitoring; achieved 90% prediction accuracy with live data visualization.
Genome Sequence Analysis and Phylogenetic Insights of Dengue Virus (DenV3) Using BioPython
June 25, 2026 – Present
Applied Python, BioPython, Clustal Omega, and IQ-Tree for sequence alignment, phylogenetic analysis, and evolutionary interpretation of genomic data.
Google AI Professional Certificate
Google / Coursera
June 1, 2026 – Present
Google Business Intelligence Professional Certificate
Google / Coursera
October 1, 2025 – Present
Generative AI for Data Analysts Specialization
IBM / Coursera
August 1, 2025 – Present
Databases and SQL for Data Science with Python
IBM / Coursera
August 1, 2025 – Present
Microsoft Power BI Data Analyst Professional Certificate
Microsoft / Coursera
July 1, 2025 – Present
Python with Machine Learning
Creative IT Institute
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in BI, ML, and even bioinformatics, indicating a broad intellectual curiosity. Their involvement in university clubs and event management highlights a proactive and collaborative nature. The certifications further demonstrate a commitment to continuous learning and skill development, aligning well with a culture of growth and innovation. The 'Executive - Incubation' role, while not directly data science, shows experience in business operations and stakeholder interaction, which can be beneficial for understanding business context in data science roles.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, attention to detail, and stakeholder communication through project descriptions and the 'Executive - Incubation' role. Their involvement in various academic clubs and event organization suggests strong team collaboration and adaptability, which are valuable for operational fit. However, the professional experience is limited to an incubation role, which may not fully reflect operational rigor in a data science context.