AKASH ANJALO
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in SQL, Python & Power BI
Results-driven Data Analyst with hands-on experience translating complex, multi-source CRM and transactional data into actionable dashboards, ML-backed insights, and strategic recommendations. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), and Power BI (DAX), with demonstrated ability to synthesize large datasets, build data models, and communicate findings to both technical and non-technical stakeholders. Adept at cross-functional collaboration across DE, DS, and business teams — with proven experience in funnel analysis, revenue leakage detection, KPI design, and end-to-end BI delivery. Background spans e-commerce, events/connectivity, finance, and sports analytics domains.
Sathyabama Institute of Science & Technology, Chennai
M.Sc. · Bioinformatics & Data Science
August 1, 2023 – June 30, 2025
Loyola College, Chennai
B.Sc. · Advanced Zoology & Biotechnology
August 1, 2020 – June 30, 2023
StreamOne Events & Solutions
Data Analyst (BI Engagement)
May 1, 2026 – Present
India
Zidio
Data Analyst Intern
June 1, 2025 – August 1, 2025
India
Skillforge
Data Science Intern
May 1, 2024 – June 1, 2024
India
E-Commerce Sales Analysis
June 1, 2026 – Present
Designed a normalized MySQL database (6 tables) and built a complete ETL pipeline — directly analogous to data warehouse build tasks in implementation-team engagements. Computed Rs. 1.18L+ in total revenue, CLV, city-wise segmentation, and product-level KPIs using advanced SQL on large transactional datasets. Detected cancelled-order revenue leakage and payment-method behavioral patterns; translated findings into boardroom-ready business strategy recommendations with domain context — relevant to e-commerce/retail environments.
Tesla Stock Forecasting Dashboard
June 1, 2026 – Present
Built an end-to-end time series forecasting application comparing four ML models (ARIMA, SARIMA, Prophet, LSTM) on web-scraped data — demonstrating ML output interpretation and insight generation. Developed a companion Power BI dashboard with dynamic slicers for historical vs. predicted trend exploration, designed for non-technical stakeholders.
IPL Performance Dashboard
June 1, 2026 – Present
Built a fully interactive Power BI dashboard analyzing multi-season player and team statistics using advanced DAX measures and relational data modeling — demonstrating intelligence dashboard development from domain data.
Superstore Sales – Excel Dashboard
June 1, 2026 – Present
Analyzed 9,000+ transactions (2014–2017); surfaced region-wise revenue (West: $725K, East: $679K) — total: $2.3M revenue, $286K profit — with pivot dashboards for stakeholder reporting.
Data Science with Python
Skillforge
June 1, 2026 – Present
Power BI Fundamentals
Be10x
June 1, 2026 – Present
Power BI Dashboard Mastery
Be10x
June 1, 2026 – Present
Deloitte Data Analytics Virtual Job Simulation
Forage
June 1, 2026 – Present
The candidate scored 90% on the Power BI assessment, indicating a strong understanding and practical application of the tool, which is highly relevant for a Data Analyst role.
Strengths
Limitations
Cultural Fit Analysis
The candidate's diverse project portfolio (e-commerce, stock forecasting, sports analytics) and experience in different company settings (StreamOne, Zidio, Skillforge) suggest adaptability and a broad interest in applying data analysis across various industries. The current role as a Data Analyst (BI Engagement) aligns well with the target role, indicating a clear career path and commitment to the field. The breadth of skills, including both technical and business analysis, points to a well-rounded individual who can contribute effectively to a data-driven culture.
Soft Skills & Operational Fit
The candidate's resume highlights strong cross-functional collaboration, stakeholder reporting, and client-facing delivery, indicating good communication and teamwork skills. The ability to translate business questions into structured KPIs and action plans suggests strong analytical and problem-solving capabilities. The psychometric test score (243/500) is below average, which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, requiring further investigation during interviews.
The candidate achieved 76% on the Data Scientist — Artificial Intelligence test, showing a competent grasp of data science principles, including ML and statistical inference, which are valuable for a Data Analyst who needs to interpret model outputs.
Strengths
Limitations