Data Science with less than a year in Python, Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented Data Analyst with hands-on experience in data cleaning, visualization, and statistical modeling. Skilled in Python, Power BI, SQL, and Excel, with a strong foundation in ETL pipelines, Power Query (M Code), and DAX for building automated dashboards. Reduced manual analysis time by 60% through AI-powered EDA automation. Passionate about applying data-driven insights to optimize processes and support business decisions.
JAIN University
Master of Computer Application (MCA)
August 1, 2023 – June 30, 2025
CSJM University
Bachelor of Computer Application (BCA)
August 1, 2019 – June 30, 2022
Global Next Consulting India Pvt. Ltd.
Data Analyst Intern
August 1, 2025 – October 1, 2025
India
Automated Exploratory Data Analysis (EDA) Using AI
June 18, 2026 – Present
Reduced manual analysis time by 60% by developing an automated EDA pipeline using Python, Pandas, Seaborn, and AI-based summarization tools. Integrated data profiling, outlier detection, and correlation mapping to produce business-ready summaries for datasets of 100K+ rows. Enabled instant insights for non-technical stakeholders, accelerating data-driven decision-making cycles.
Global Internet Usage Trends Analysis
June 18, 2026 – Present
Analyzed worldwide internet adoption patterns across 150+ countries, identifying emerging technology regions and growth clusters. Applied trend and cluster analysis to segment regions by digital accessibility and adoption rate. Created interactive dashboards to visualize regional growth and digital accessibility insights.
Public Transport Route Optimization
June 18, 2026 – Present
Designed a data model to optimize route efficiency by analyzing passenger flow, trip frequency, and route performance across 50+ routes. Used Python and SQL to query and process transportation datasets, identifying high-demand corridors and scheduling gaps. Built Power BI dashboards with data-driven recommendations to enhance fuel efficiency and scheduling accuracy.
Cultural Fit Analysis
The candidate's projects show a diverse interest in data applications, from internet usage trends to transport optimization and AI-driven EDA. This breadth suggests adaptability and a willingness to explore different problem domains. The target role is Data Science, and while the candidate has strong Data Analyst skills, the transition to a senior Data Scientist role would require more advanced machine learning and statistical modeling experience. The current profile aligns well with a junior to mid-level Data Analyst role, but for a senior Data Scientist, there's a gap in advanced ML/DS project experience. The candidate is currently pursuing a Master's, indicating a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through project work, particularly in optimizing public transport routes and automating EDA. Their internship experience highlights collaboration with cross-functional teams and presenting findings to management, indicating good communication and teamwork potential. The focus on efficiency and automation (e.g., saving 8 hrs/week) suggests a results-oriented approach. However, the short duration of the internship and lack of professional experience beyond that limit the assessment of operational fit in a senior role.