ASHWIN SURYAWANSHI
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 Data Analytics & Visualization
Entry-Level Data Analyst with 3 internships and 20+ end-to-end projects across campaign, customer, and logistics analytics, delivering measurable business impact through Python, SQL, Power BI, and Tableau. Proven expertise in EDA, ETL pipeline development, KPI dashboard design, data modelling, and cohort analysis. Adept at translating complex datasets into clear, actionable insights for cross-functional stakeholders with a track record of reducing reporting time, improving operational efficiency, and enabling data-driven decision making.
Priyadarshini College of Engineering, Nagpur
Bachelor of Engineering · Civil
July 1, 2015 – July 1, 2019
Excelerate
Data Analyst Intern
September 1, 2025 – October 1, 2025
India
Labmentix Pvt Ltd
Data Analyst Intern
February 1, 2025 – May 1, 2025
India
Cognifyz Technologies
Data Analyst Intern
January 1, 2025 – February 1, 2025
India
Freelancer
Building Design Engineer
January 1, 2021 – January 1, 2024
Nagpur, Maharashtra, India
Fraud Detection & Risk Analytics - CNP Transaction Analysis
April 1, 2026 – June 1, 2026
Analysed 3,199 CNP transactions to detect 5 fraud patterns (velocity abuse, multi-card cycling); achieved 12.22% chargeback identification rate — 6x the industry benchmark. Engineered a rule-based SQL fraud scoring engine (Low/Medium/High); built a 3-page Power BI dashboard with 7 DAX measures enabling real-time fraud monitoring.
Student Outreach & Campaign Funnel Analysis
September 1, 2025 – October 1, 2025
Evaluated 285,000+ outreach attempts and 15,000+ applicant records; built Power BI KPI dashboards tracking conversion at every funnel stage. Identified peak outreach windows and top-performing caller segments via cohort analysis; recommendations improved estimated application completion rates by 18%.
Johnson & Johnson - Product Dissection & Market Analysis
April 1, 2025 – May 1, 2025
Performed structured product dissection on J&J SKUs to identify feature-level drivers of customer preference and competitive positioning gaps. Synthesised findings into a stakeholder presentation mapping product attributes to revenue potential, prioritising 3 high-ROI product improvements.
MediBuddy Healthcare Insurance - Data Insights
March 1, 2025 – April 1, 2025
Investigated 1,338 insurance policies (INR 17.76M in claims) using Python EDA to quantify cost drivers across age, BMI, smoking status, and region; identified 4x higher claims for smokers and age/region risk clusters. Built an interactive Power BI dashboard visualising key risk segments and delivered findings via a structured PowerPoint presentation supporting data-driven underwriting recommendations.
FedEx Logistics - Exploratory Data Analysis
February 1, 2025 – March 1, 2025
Analysed 10,324 shipment records evaluating on-time delivery (98.25%), mode distribution, and cost drivers across the logistics network. Recommended prioritising air mode for high-value, weight-sensitive consignments — projected 12% cost-efficiency improvement.
Mathematics & Statistics for Data Science
CloudyML
January 1, 2025 – Present
Python for Data Science | SQL for Data Analysis | Power BI | MS Excel | Tableau | R Programming
CloudyML
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity across various domains (fraud detection, logistics, healthcare, student outreach, market analysis) suggests adaptability and a broad interest in applying data analysis to different business challenges. Their experience in remote teams and internships indicates a willingness to learn and collaborate. The transition from a Building Design Engineer to a Data Analyst, coupled with relevant certifications, shows initiative and a strong drive for career change and continuous learning, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in cross-functional team collaboration, stakeholder reporting, and project management (from their freelance role). Their ability to translate complex findings into structured presentations and reports indicates good communication and presentation skills. The emphasis on reducing manual effort and improving efficiency points to a proactive and problem-solving mindset.