- Location
- Toronto, Ontario, Canada
- Bio
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An energetic, curious student who strives to be better every day.
- Resume
- Sandesh_Tulsani_Resume.docx
- Portals
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Toronto, Ontario, Canada
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- Categories
- Data visualization Data analysis Data modelling Project management Competitive analysis
Skills
Socials
Achievements
Latest feedback
Recent projects
Investor Data Entry
To research, list and upload details of all funding sources (public and private) in OECD countries including but not limited to grants, equity, credit, mezzanine offered by governments, private equity, venture capital, angel groups, family offices, trusts, NGOs, social enterprises, incubators, accelerators and HNIs, targeted at start-ups, SMBs, minority businesses and Africa based businesses. The project shall list the funding source, type of funding, eligibility criteria, application process, application time frame, frequency and contact details (including location of source)
Culinary Compass: AI powered dining experience
Our company is revolutionizing the way people discover and enjoy dining experiences through AI and food science. We aim to enhance our platform by incorporating the latest AI/ML techniques to personalize restaurant recommendations and improve user engagement. We invite students to collaborate with us to apply advanced AI and machine learning techniques to our existing dataset. Students will develop AI/ML models that enhance user personalization, predict dining trends, and optimize restaurant recommendations. This collaboration will involve: Conducting background research on our platform and existing dataset. Analyzing our current dataset to identify patterns and opportunities. Researching the latest AI/ML techniques for personalized recommendations and predictive analytics. Developing AI/ML models that provide unique insights and enhance user experiences. Proposing multiple solutions for continuous improvement and innovation
Work experience
Business Analyst Intern
Riipen
Toronto, Ontario, Canada
March 2024 - May 2024
• Scraped and engineered data-driven strategies to analyse 5,000+ investor profiles at Anvil Business Centre, mapping market trends and identifying high-potential leads that expanded the client database by 35%, driving business growth
• Migrated and standardized 10K+ investor records in Excel using Power Query/VLOOKUP, eliminating all discrepancies and ensuring 100% compliance, error-free deliverables.
• Engineered and implemented A/B tests on investor outreach strategies, increasing engagement rates by 20%.
• Conducted daily Agile Scrum meetings for a team of 5+ interns, driving alignment, optimizing task prioritization, and eliminating bottlenecks. Ensured 100% on-time project delivery while boosting team workflow efficiency by 20%.
Data Analyst
IQVIA
Pune, Maharashtra, India
July 2021 - August 2023
• Designed, developed, and optimized SQL-based data pipelines, automating ETL workflows to streamline data processing and enhance reporting accuracy by reducing manual workload by 30% (saving 10+ hours/week).
• Developed retention analysis models to continuously monitor sales performance, detect emerging customer churn patterns, and optimize field operations. Like telecom churn analytics and customer lifecycle insights to drive strategic decision-making, improving efficiency by 25% and visualized findings through interactive Tableau dashboards
• Conducted A/B testing on sales performance metrics , delivering data-driven recommendations
• Led cross-functional team of 8+ members to deliver client analytics projects, improving operational efficiency by 15%
• Developed a cloud-based database integrating scraped data from 100+ websites, collaborating with cross-functional teams to enhance sales pitches to the clients and project efficiency by 20% at IQVIA.
• Generated data-driven insights on incentive compensation plan of oncology client, boosting sales team productivity by 20% ($1.5M+ incremental revenue).