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Data Analyst with 4+ years in Data Analytics & AI/ML
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Data Analyst with 2+ years of experience at Al Hadaf Technologies and a certification in Data Analytics & Big Data and Data Science with AI/ML from Aifinite Institute. Skilled in Python, SQL, PySpark, Power BI, Excel, Databricks, AWS. Experienced in transforming raw data into actionable insights, applying machine learning techniques, automating reporting, and building dashboards to optimize performance and enhance customer satisfaction. Strong engineering background with proven ability to apply data-driven decision-making and AI/ML driven solutions to solve complex business challenges.
UPTU
B.Tech · Electronics and Instrumentation
N/A – June 30, 2012
U.P. Board
Intermediate (12th)
N/A – Present
U.P. Board
High School (10th)
N/A – Present
Al Hadaf Technologies
Data Analyst
August 1, 2024 – Present
India
Ericsson India Pvt Ltd (via Aerial Telecom Solutions Pvt. Ltd.)
Telecom Analyst (BSS/OSS Support)
April 1, 2014 – September 1, 2018
India
MODI Sugar Mill
Data Analyst
April 1, 2013 – March 1, 2014
India
Shri Ram Transformer
Data Analyst
June 1, 2012 – March 1, 2013
India
E-commerce Sales Data Analysis – Python
June 24, 2026 – Present
Analyzed sales data with Pandas to identify top products, key regions, and trends. Performed customer segmentation and time-series analysis. Delivered insights that could boost sales conversion by ~15% and optimize inventory.
Healthcare Analytics - Python
June 24, 2026 – Present
Analyzed health data to assess lifestyle impact on diagnosis rates. Used heatmaps, violin plots for demographic insights. Improved disease prediction accuracy and supported health awareness planning.
Loan Portfolio & Recovery Analysis – Python
June 24, 2026 – Present
Cleaned and merged multi-source loan data for performance analysis. Identified high-risk segments and low-recovery branches. Enhanced risk monitoring and improved recovery strategy by ~10%.
MediTrack: Relational Database for Patient Health Insights - SQL
June 24, 2026 – Present
Developed a relational database to manage patient health records using SQL. Created queries to extract insights on treatments and outcomes. Ensured data accuracy and efficient retrieval for healthcare reporting.
Crime Analysis Dashboard – Power BI
June 24, 2026 – Present
Built interactive dashboard to analyze crime data by region, type, and time. Used DAX, slicers, and visuals for trend analysis and hotspot detection. Reduced manual reporting effort by ~10 hr/month and enabled faster hotspot detection for planning.
Data Science with AI / ML Certification
Aifinite Learning
April 1, 2026 – Present
Data Analytics Virtual Experience Program
Quantium (via Forage)
July 1, 2025 – Present
Data Analytics with Big Data Certification
Aifinite Learning
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, finance, healthcare, public safety) and experience across different industries (telecom, manufacturing, tech) suggest a broad interest and adaptability, which can contribute positively to cultural fit in dynamic environments. The current role as a Data Analyst aligns well with the target role, indicating a clear career path. The certifications in Data Analytics and Data Science further demonstrate a commitment to continuous learning and skill development, which is a strong cultural asset.
Soft Skills & Operational Fit
The candidate's resume highlights a focus on automating workflows and improving efficiency, which suggests a proactive and problem-solving mindset. Their experience in various industries (telecom, manufacturing, current data analyst role) indicates adaptability. The project descriptions show an ability to translate data into actionable insights, which is crucial for operational impact. However, without direct interview data, assessing collaboration and stress handling is not possible.