About
Analytics professional with 5+ years of agency-side experience (Publicis Groupe, Jellyfish) applying statistical modeling, regression, classification, and A/B testing to campaign data, translating raw data into actionable business insights for marketing decision-making. Proficient in Python and SQL for data manipulation, reporting, and dashboard automation, with a strong grounding in basic statistics — significance testing, correlation analysis, and descriptive statistics — supporting campaign measurement and incremental lift analysis. Experienced building and maintaining stakeholder relationships, scoping analytics projects, and presenting findings to both technical and non-technical audiences. Comfortable operating independently with limited guidance as well as collaboratively across teams and offices.
Skills & Expertise (37)
Work Experience
Analyst – Data Science, Analytics & AI
Jellyfish
May 2025 - Present
Apply statistical modeling techniques (regression, classification) to campaign data to support forecasting and audience segmentation, improving targeting accuracy by 20%. Support campaign measurement and determine incremental lift from marketing activities through statistical analysis and sampling methodologies, interpreting results for business stakeholders. Code in Python and SQL to build reports and dashboards, automating recurring workloads to improve reporting efficiency. Manage reporting and data needs end-to-end — ingestion, cleaning, and delivery — for campaign forecasting and audience segmentation datasets. Partner with cross-functional teams to define analytical scope and translate business questions into scalable solutions, aligning technical work with business goals. Generate meaningful insights using advanced analytics techniques, creating visualizations and presentations for wider teams.
Executive-Analyst
Publicis Groupe
Aug 2023 - May 2025
Owned and delivered analytics projects involving correlation, regression, significance testing, and A/B testing to support campaign optimization and segmentation analysis. Built and maintained strong working relationships with marketing and account stakeholders, gaining a deep understanding of client challenges to shape analytical priorities. Coded in Python and SQL to build Tableau and Power BI dashboards and automate recurring reporting workloads, improving data refresh and reporting speed by 30%. Performed data cleaning, ingestion, and preparation across large media datasets, integrating multiple sources to identify audience overlap and engagement trends. Presented statistical findings and business cases clearly to non-technical stakeholders, supporting strategic campaign decisions. Mentored junior analysts in SQL, Python, and dashboard development best practices, supporting continuous team progression.
Research Analyst
DRDO
Apr 2021 - Jul 2023
Performed advanced statistical analysis and data interpretation on large-scale datasets to support applied research initiatives and decision-making. Developed Python-based scripts for data preprocessing, anomaly detection, and modeling automation, applying software design principles and version control. Delivered insights through exploratory data analysis, hypothesis testing, and sampling methodologies, improving decision quality for stakeholders.
Education
Professional Certificate in Generative AI & Machine Learning - IIT Guwahati
- 2025 · Afghanistan
PG Diploma in Data Science and Engineering - Great Lakes Institute of Management
- 2022 · Afghanistan
B.E. in Electronics and Instrumentation Engineering - Banasthali University
- 2018 · Afghanistan
Certifications
SQL Certification
HackerRank · 2023
Python Hackathon Winner
· 2022
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Citizen
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Open to Relocation
Skills (37)
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