Data Analyst & AI Specialist | Python, SQL & Business Intelligence I am an Artificial Intelligence undergraduate with hands-on, remote industry experience building end-to-end data pipelines and driving data-backed decisions. I specialize in bridging the gap between chaotic, messy data and clean, structured analytics that businesses can actually use to scale. Having worked with cross-functional and remote teams, I understand how to manage datasets at scale whether that means designing automated ETL workflows, optimizing relational databases, or building interactive dashboards for executive stakeholders.…

Haris Javed

Data Analyst & AI Specialist | Python, SQL & Business Intelligence I am an Artificial Intelligence undergraduate with hands-on, remote industry experience building end-to-end data pipelines and driving data-backed decisions. I specialize in bridging the gap between chaotic, messy data and clean, structured analytics that businesses can actually use to scale. Having worked with cross-functional and remote teams, I understand how to manage datasets at scale whether that means designing automated ETL workflows, optimizing relational databases, or building interactive dashboards for executive stakeholders.…

Available to hire

Data Analyst & AI Specialist | Python, SQL & Business Intelligence

I am an Artificial Intelligence undergraduate with hands-on, remote industry experience building end-to-end data pipelines and driving data-backed decisions. I specialize in bridging the gap between chaotic, messy data and clean, structured analytics that businesses can actually use to scale. Having worked with cross-functional and remote teams, I understand how to manage datasets at scale whether that means designing automated ETL workflows, optimizing relational databases, or building interactive dashboards for executive stakeholders.

See more

Skills

Experience Level

Python
Expert
SQL
Expert
Data Visualization
Expert
ETL
Expert
Data Science
Expert
Power BI
Expert
GitHub
Intermediate

Language

English
Fluent
Urdu
Fluent

Work Experience

Data Analyst Intern at Elevvo Pathways
August 1, 2025 - Present
Designed and executed ETL workflows using Python and SQL to integrate data from multiple internal and external sources, ensuring data quality and consistency. Built interactive Power BI dashboards enabling stakeholder decision-making on key business metrics, reducing manual reporting effort. Conducted RFM analysis to segment customers into high-value groups, supporting targeted marketing strategies. Executed complex SQL queries to extract, transform, and load data from relational databases for downstream analytical use. Documented data models, analysis workflows, and findings for reproducibility and knowledge sharing across teams.
Data Analyst Intern at AI Community Pakistan
February 1, 2024 - April 1, 2024
Performed exploratory data analysis on real-world datasets; cleaned and standardized large-scale messy data to ensure pipeline-ready quality. Contributed to AI/ML-related data preparation tasks, structuring semi-structured datasets for model experimentation. Created data visualizations using Matplotlib and Seaborn to communicate trends to both technical and non-technical stakeholders. Documented full analysis processes in Jupyter notebooks, following best practices for reproducibility and team knowledge sharing.

Education

Bachelor of Science in Artificial Intelligence at Iqra University, Islamabad
October 1, 2023 - June 10, 2026

Qualifications

IBM Data Science Professional Certificate (Coursera)
January 11, 2030 - June 10, 2026
Python Project for Data Science
January 11, 2030 - June 10, 2026
Python for Data Science, AI & Development
January 11, 2030 - June 10, 2026
AI for Everyone
January 11, 2030 - June 10, 2026

Industry Experience

Software & Internet, Professional Services, Education
    Pakistan Inflation Analysis: Turning 85,000+ Raw Price Records Into Actionable Insights

    Project Overview

    This project analyzes weekly price changes across 16 regional hubs and 56 essential commodities from January 2023 to August 2025. The objective is to identify core inflation drivers, evaluate regional affordability variances, map price volatility, and structure historical time-series data for automated forecasting.

    Dataset Scale: Approximately 85,154 rows containing Date, City, Item, Avg_Price, Min_Price, Max_Price, and Unit.

    Project Goals

    • Identify Inflation Catalysts: Isolate specific utility, food, and non-food items driving core inflationary pressures.
    • Geographical Mapping: Conduct cross-city comparative analysis to evaluate cost-of-living variances.
    • Quantify Volatility Dynamics: Distinguish between stable commodities and hyper-volatile goods.

    Data Engineering and Cleaning

    Raw macroeconomic data was extracted from fragmented government reports. The ETL pipeline was engineered as follows:

    1. Extraction: Gathered weekly SPI PDF reports from the Pakistan Bureau of Statistics (PBS) and converted unstructured text tables into CSV format.
    2. Integration: Concatenated dozens of individual data files into a single, unified dataset using Python.
    3. Data Quality: Resolved date formatting inconsistencies, eliminated duplicate records, standardized item names, and verified unit metrics.

    Core Insights

    1. Utilities and Consumer Essentials
    • Non-food consumer essentials experienced dramatic shifts, with specific footwear categories (Bata Ladies Sandals) surging by +52.5% YoY.
    • Fixed baseline costs such as Gas Charges underwent a massive upward correction, spiking by +38.3% YoY.
    1. Dietary and Protein Pressures
    • Basic nutritional building blocks scaled rapidly. Refined Sugar registered a notable +17.4% YoY rise, closely followed by Beef with Bone growing at +14.7% YoY.
    1. Geographical Disparities and Data Anomalies
    • Islamabad stands as the country’s most expensive major city, yielding a high average price index of ₨646.7.
    • Quetta returned a suspicious historical average index of ₨33.9, flagging a critical regional reporting anomaly by data collection sources that requires isolated validation.
    1. Hyper-Volatile Clusters
    • Energy and essential cooking products (Gas, LPG, Wheat Flour, and Cooking Oils) exhibited severe price instability, maintaining massive price spreads exceeding ₨600 within short reporting cycles.

    Tech Stack

    • Languages and Libraries: Python, Pandas, NumPy, Matplotlib, Seaborn
    • Environment and Tools: Jupyter Notebook, Git, GitHub

    <img width=“1389” height=“590” alt=“output” src="https://www.twine.net/signin />