Headline

Business Analyst | Data Visualization & Machine Learning | Python, SQL Expert | Driving Data-Driven Decisions

About

Data Analyst with 2+ years of professional experience delivering data analysis, business intelligence, and advanced analytics solutions across the full data lifecycle. Proven expertise in SQL (complex queries, joins, CTEs), Python (Pandas, NumPy, scikit-learn), Power BI (DAX), Tableau, and Advanced Excel, with a strong focus on data accuracy, automation, and scalability. Hands-on experience in data extraction, transformation, and loading (ETL) from multiple structured and unstructured sources, including APIs, web scraping, relational databases, and external government datasets (ONS, DfE, IMD, Ofsted, Nomis). Built automated data pipelines and reporting workflows that reduced manual processing by 80%+ while improving data quality and governance. Strong background in data cleaning, data validation, exploratory data analysis (EDA), KPI development, variance analysis, forecasting, and time-series analysis. Applied machine learning techniques including regression, classification, clustering, and predictive modelling using Random Forest, Decision Trees, SVM, and KNN to identify trends, risks, and performance drivers. Experienced in developing interactive dashboards and self-service BI solutions to translate complex datasets into actionable insights for technical and non-technical stakeholders. MSc in Business Analytics with strong exposure to data modelling, SQL optimisation, requirements gathering, stakeholder management, and Agile delivery. Actively seeking Data Analyst / BI Analyst / Analytics roles where data-driven insights, automation, and predictive analytics drive measurable business outcomes.

Location

Thane

Work experience

Data Analyst at Sport 4 Life UK, May 2025 - May 2026 · 1 yr 1 mo, Birmingham, Strengthened Impact Reporting: •Collected and integrated external datasets (ONS, DfE, Prince’s Trust, Sutton Trust) to support internal findings, enhancing the credibility of annual impact reports used for funding bids. •Improved data validation and evidence-based storytelling, increasing stakeholder confidence and report quality. Automated Data Collection Processes: •Designed and implemented a web scraping workflow to automatically source entry-level job listings for NEET youth in Birmingham from platforms like Indeed. •Reduced manual data entry and research time by over 80%, enabling the Operations team to focus on candidate engagement instead of repetitive data collection. Socio-economic Data Enrichment & Analysis: •Mapped Pupil Referral Units (PRUs) to local socio-economic indicators using government open datasets (IMD 2019, ONS, DfE, Nomisweb). •Built an enriched dataset containing deprivation indices, youth unemployment rates, exclusion rates, and Ofsted ratings — supporting strategic targeting and resource prioritisation for outreach. •Developed a reproducible data pipeline using lookup tables (postcode–LSOA mapping) and government APIs to ensure ongoing updates and scalability. Cross-departmental Collaboration: •Worked closely with Impact, Operations, and Research teams to identify data gaps, automate evidence gathering, and provide actionable insights for programme development. •Presented data findings and methodological improvements during internal review meetings and impact planning sessions. Tools & Technologies Used: •Excel (advanced functions, data cleaning), Python (Pandas, Requests, BeautifulSoup), APIs (ONS, Nomisweb), Data Visualization (Power BI / Excel dashboards).

Business Sales Executive at Compass Group, Aug 2023 - May 2026 · 2 yrs 10 mos, Birmingham, •Provided exceptional customer service and contributed to sales growth in a high-volume, fast-paced retail environment. •Effectively supported a diverse customer base by addressing product inquiries, processing transactions with accuracy, and ensuring a seamless shopping experience. •This role required a strong blend of interpersonal communication, product expertise, and operational efficiency. Key Responsibilities: •Delivered tailored customer service experiences to maximize satisfaction and encourage repeat business. •Guided customers in product selection and promotional offerings, directly supporting revenue targets. •Accurately processed transactions, including cash and card payments, while maintaining till balance. •Resolved customer concerns professionally, demonstrating empathy and problem-solving skills. •Maintained a clean, organized, and well-stocked sales floor to enhance the customer experience. •Collaborated effectively with team members to achieve and surpass daily sales goals

Business Analyst at hibretOne-CIC, Aug 2023 - Jan 2024 · 6 mos, Birmingham, England, United Kingdom, • Executed web scraping operations to collect and analyse data related to business failures. • Visualized data to showcase failure categories, business stages, and contributing factors. • Developed a user- interface using Python with the help of streamlit library allowing entrepreneurs to enter preliminary questions about their company. • Implemented a search bar to assist users in identifying and addressing specific business problems. • Leveraged machine learning library SequenceMatcher to find close matches in the knowledgebase and suggested relevant solutions. • Provided users with actionable recommendations, including potential pivots to avoid anticipated failures.

Junior Research Analyst at Lifeonlabs Pvt. Ltd, Nov 2021 - Mar 2022 · 5 mos, Dombivali, •Conducted comprehensive market research to identify emerging trends, customer preferences, and competitive landscape within the industry. • Analyzed data and gathered insights to develop actionable recommendations for product development, pricing strategies, and marketing campaigns. • Utilized various research methods, including surveys, focus groups, and data analysis tools, to gather and interpret market data accurately. • Monitored and evaluated market conditions, including industry dynamics, economic factors and assessing the potential impact on product sales. • Conducted market segmentation analysis to identify target customer segments and tailor marketing strategies accordingly. • Assessed market demand and identified gaps or untapped areas for new product development or expansion.

Finance and Marketing intern at Aditya Birla Sun Life Insurance, Jan 2020 - Feb 2020 · 2 mos, Maharashtra, India, •Prepared financial analysis reports on multiple companies by analysing financial statements, performance metrics, and industry benchmarks to support business decision-making. •Gained hands-on understanding of various insurance products (life, health, and general insurance) and their financial, risk, and compliance aspects. •Supported insurance marketing and sales initiatives through customer, policy, and market trend analysis to identify growth opportunities. •Developed clear, data-driven reports and presentations, communicating insights effectively to stakeholders across finance, sales, and marketing teams.

Education

Master of Science - MS, Business Analytics, Aston University

Bachelor in management studies, Finance, University of Mumbai