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Data Scientist

crowdhouse.ch

-Led the digital transformation of product analytics systems, improving data governance and utilization across the teams
-Fostered a culture of collaboration and continuous improvement with engineering teams, improving data governance and utilization across marketing, product and engineering teams
-Designed and developed  data pipelines using Pyspark & in AWS, facilitating seamless data collection and processing from multiple sources.
-Developed and deployed multiple regression models that improved forecast accuracy, directly influencing strategic planning and revenue optimization
-Created dynamic KPI dashboards for Product & Marketing teams, offering actionable insights and a comprehensive understanding of user behavior & operational bottlenecks.

Senior Data Analyst, Product Analytics

Manor AG

Lead Marketplace Operations

Google (Via Wipro)

-Collaborated closely with business units to define key performance indicators (KPIs) and established automated dashboards that visualized business trends and anomalies
-Led data validation and cleansing efforts, ensuring data accuracy and integrity across all analytical reports.
-Partnered with IT and data engineering teams to optimize data pipelines and ETL processes, leading to reduction in data processing time.
-Coordinated with external partners and vendors to enhance data collection and integration efforts
-Developed predictive models using advanced analytics, enhancing decision-making capabilities

Senior Data Analyst - Project Lead

Philip Morris International

-Spearheaded the development and implementation of an advanced data automation framework, reducing data processing time
-Collaborated with cross-functional teams to identify and automate repetitive data tasks, resulting in  increase in operational efficiency and a significant reduction in human error
-Led the integration of automated reporting tools (e.g., Tableau, Power BI) with existing databases, enabling real-time data visualization and insights for stakeholders, enhancing decision-making processes

Data Automation Engineer

Little Internet Private Limited

Little Internet Pvt Ltd (Indian Tech E-commerce startup), Bengaluru (India) 
•       Created a new revenue platform:
-Established the highest revenue generating vertical, Party deals, which boosted the revenue by 68%, across the 11 cities
-Increased merchant partners by 2x while building the vertical
•       Customer Experience Enhancement:
-Set up the ‘Customer Experience Enhancement’ team which improved the Net Promoter Score (NPS) of the company from 27% to 35% and reduced the merchant denial to less than 1% of total orders
- Developed Issue resolution processes to improve the Turnaround Time by 67%
•       Account management of some the biggest merchants:
-Maximized the revenue by closing handling the business from top revenue-generating merchant partners of all the 11 cities

Business Strategy Manager - Special Projects

TaxiForSure

TaxiForSure (Indian E-commerce startup in Taxi Domain), Bengaluru (India) 
•       Operations & Analytics: 
- Built and executed the growth strategies for expansion of on-demand cab hailing services in 36 cities in Northern and Southern part of India, in a span of 9 months
-Project Management- Maximized the efficiency of expansion by coordinating with various teams (Expansion, Marketing, Tech, and Product) to launch any city operations
- Enhanced the key supply and customer side processes to improve asset utilization by 53 %
•       Special Projects: 
-Instrumental case studies on important business decisions
- Viability study of other modes of transport to expand the business into other domains
-Built the International expansion plan for the firm
-Created expansion playbook (comprising of the timelines, resources needed, metrics used to track the business) to expand the business in a city, for an efficient onboard of a resource onto the team
•       Got promoted to Operations manager within 9 months of joining

Expansion Team - Operations Analyst

Deloitte Consulting

Business Requirement Gathering:  
-Lead multiple Business Intelligence projects that helped the client (Leading Healthcare Provider, USA) avoid potential monetary penalties on delay ranging from $100 per day per report to $1000 per member per month
-Coordinated and facilitated work sessions with Business users and IT development to define projects' scope and detailed functional requirements, non-functional requirements
- Performed gap analysis, designed testing plans, assisted the team during the course and reviewed the test cases
•         Business Technology Analysis:
- Performed various analytical ad-hoc projects (by using reporting tools such as SQL, Hyperion & OBIEE) to support decision making of the senior team
- Handled high level of user support. Identified and drove the data issues to resolution
•         Got promoted to Consultant

Consultant

A seasoned Data Professional with extensive experience spanning multiple industries, from tech giants like Google to niche marketplace platforms in Switzerland. I have studied to be a Data Scientist, and at the moment I am attending Data Science mentoring , which gives me an end-to-end experience in deploying Machine Learning solutions. As an MLOps enthusiast, I bring a unique perspective to the table.

Demonstrated expertise in designing data workflows, developing KPIs, and crafting dynamic dashboards using tools like Data Studio, Tableau, and Power BI. Proven track record in leading data-driven projects, fostering cross-functional collaboration, and spearheading strategic business expansions. Successfully built and enhanced data pipelines using Python, and has been instrumental in business growth initiatives, evidenced by building the highest revenue-generating vertical and significantly improving customer experience metrics.
Tech Stack : Machine Learning, Python, SQL, Tableau, Google Data Studio, Power BI

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