You can also explore all my personal projects here
Skills & Service Offerings
Machine Learning & AI
Well-versed in Predictive modelling, Recommendation systems, Supervised, Unsupervised and Deep learning techniques with proficiency in Bayesian statistics and Advance Python (Scikit-Learn, TensorFlow, Keras, PySpark).
Data Analytics
Proficient in leveraging R, Python (NumPy, Pandas, SciPy, Seaborn), and Advanced Excel for data analysis.
Expertise includes Statistical modeling, Regression analysis, Descriptive analytics, and A/B testing.
Databases & Business Intelligence
Well-versed in MySQL, PostgreSQL, and NoSQL (MongoDB) databases.
Experienced with BI tools including Looker, Power BI, and Tableau, with strong knowledge of visual encoding, color theory, and data storytelling.
Program & Product Management
Experienced in Product Roadmapping, Requirement Elicitation, Streamlining processes and improve tracking with Agile methodologies (Scrum, Kanban), and Organising operations with SLx.
Well-versed with tools like Jira, ServiceNow, Notion, and Confluence.
Stakeholder Management
Proficient in data flow diagramming with Miro, Visio, and Draw.io to facilitate both technical & non-technical stakeholder communication.
Additionally, adept with Microsoft 365, Google Workspace, and Slack for effective collaboration.
Financial & Business Analysis
Skilled in Financial Modelling, ROI analysis, Risk assessment, and Decision Analytics, leveraging Monte Carlo simulations, Time Series forecasting, and Sensitivity analysis.
Additionally, experienced with strategic frameworks including SWOT and RACI.
Cloud Technologies
Proficient in AirFlow, Spark, and Snowflake for data orchestration and platforms such as Google Cloud Platform (BigQuery, Dataflow) and Azure for building scalable and robust cloud data solutions.
Software Development & DevOps
Experienced in Object oriented programming and languages including C++ and C#
Additionally, proficient with Visual Studio, version control and CI/CD practices using Git, Jenkins, and Docker.
Web Development & Design
Proficient in building dynamic web applications using HTML, Javascript, and frameworks like .NET MVC, Flask, and Streamlit.
Additionally, adept at prototyping with Figma and AdobeXD and designing with Canva.
What people say
Vanshika is a very hard-working person who can tackle any problem with ease. We have worked together on several projects, and I found her a highly skilled and dedicated professional. She’s also an all-around great person to work with! I highly recommend her!
Vanshika is a really great professional in terms of technical knowledge and absolutely reliable. She also combines this with a very human and understanding approach. She is truly a pleasure to work with!
Working with Vanshika has been a pleasure. She is great at communicating and always points us in the right direction when we need it. Her attention to detail has certainly improved the efficiency within the team.
Vanshika is a bright and dedicated student who demonstrated a deep understanding of the Forecasting subject matter. She demonstrated meticulous attention to detail and strong problem-solving skills, adding great value to her project. I don't doubt that her diligence and commitment to delivering exceptional results will continue to shape her future successes.
Vanshika's proactive attitude and resilience stood out for me as her personal mentor. She faced challenges with grace and turned them into opportunities for learning and self-improvement. Her passion, intellect, and genuine kindness make her a valuable asset to any team. Moreover, her truly contagious energy brings a refreshing perspective to any situation.
Vanshika is a bright star for the future! She performed excellently at a Hackathon L’Oreal hosted so it was great news that she decided to join us here to kick off her career!
Professional Journey
I successfully led the EMEA Data Acquisition Program, expanding the scope across 15 countries and 12 brands, demonstrating my strategic market expansion capabilites. By effectively collaborating with cross-functional teams, I enhanced user engagement by approximately 40% with the introduction of 5 new feature evolutions, demonstrating strong leadership, ownership, and teamwork skills. Further, through meticulous budget optimization, I identified opportunities for a 20% cost reduction without compromising performance of the Data Acquisition Program, highlighting my financial acumen and resource management capabilities.
In addition to this, I developed 3 new dashboards and improved the data quality of 2 existing Looker dashboards, significantly enhancing KPI monitoring across CRM programs such as Loyalty, Consumer Care, and Feedback, enabling informed decision-making.
Furthermore, I automated GDPR compliance processes for two CRM programs, eliminating manual errors and saving around 10 hours weekly for the team, underscoring my proficiency in process automation and my commitment to ensuring operational efficiency.
Effectively managed offshore resources and facilitated cross-team collaborations for the Data Acquisition Program, resulting in a remarkable 150% boost in SLA adherence, highlighting strong project management and communication skills, as well as my ability to lead diverse teams toward achieving common goals.
Additionally, I streamlined project tracking for the Loyalty Program by implementing agile methodologies, enhancing the program's scalability and adaptability, demonstrating proficiency in agile practices and commitment for continuous improvement to ensure quick response in changing requirements.
Collaborated with cross-functional teams in Paris and Singapore to analyze 200 million+ consumer transaction and platform interaction data using Big Data analytics. Additionally, developed Tableau dashboards that unveiled critical user behavior patterns and revenue trends, showcasing strong analytical skills and ability to work effectively in diverse, global teams.
Leveraged predictive modeling to engineer a Customer Lifetime Value (CLTV)-based machine learning model for precise customer segmentation. Further, used this model for targeted marketing with voucher approach, contributing to a 20% growth in retention rates and a €1 million increase in revenue, demonstrating expertise in data-driven marketing strategy development.
To enhance insight dissemination across the organization, built a user-friendly Flask web application that significantly increased data utilization across departments, reflecting technical proficiency and commitment to fostering uniform comprehension within the company.
Conducted monthly software compliance and financial market data analyses for EU and US trading softwares, translating complex financial services concepts into technical specifications.
Worked with cross-functional teams to define product roadmaps for APIs of financial trading platform like Tradeweb.
Led feature development projects in C++ and C#, introducing 20 new API features. Further modernized legacy codebases in C using Agile methodologies, reducing operational costs by 50%.
Additionally, performed A/B testing for risk management features in trading UIs, analyzing over 500,000 trades, leading to 15% fewer user-reported issues and a 12% improvement in system performance
Furthermore, managed client relationships for Tradeweb solutions with top banking organisations ensuring high levels of product satisfaction. The top banking organisations include JPMorgan, Goldman Sachs, CitiBank, BNP Paribas, and more, across six global locations.
Educational Qualifications
Master of Science - Business Analytics (Minor in Finance)
2022 - 2024
Masters Graduate with a major in Business Analytics and a minor in Finance from the prestigious Essec Business School, located in Cergy, France with a grade of 15.4(on a scale of 20). Essec is ranked #3 globally by QS world business analytics program rankings(2024).
Master of Science - Data Science
2022 - 2024
Masters Graduate with a major in Data Science from the prestigious CentraleSupélec, located in Gif-sur-Yvette, France, with a grade of 15.4(on a scale of 20). CentraleSupélec is part of Université Paris-Saclay and is ranked among top 3 Engineering schools in France.
Bachelors of Computer Science Engineering
2016 - 2020
Graduated with flying colors with a major in Computer Science Engineering from Guru Gobind Singh Indraprastha University (Delhi, India) as achieved a grade of 8.48(on a scale of 10).
Awards and Publications
Runner up for L'Oreal Data Hackathon (2023)
Won the 2nd position prize for the discovering and developing a prototype for an efficient, feasilble, sustainable and innovative solution to enhance consumer engagement and relevant analytical database.
Springer Research Publication: Deep Learning on Small Tabular Dataset (2021)
Primary author of the Research Paper published in Springer CCIS AI series where we discovered a novel approach to perform deep learning on small tabular datasets(with less than 1000 data points) using Transfer Learning and Image classification.
We attained significant improvement in prediction accuracy of type-2 Diabetes on the Pima Indian Dataset with this method.
Intern of the Year at Umeed NGO (2017)
Worked with NGO management for Event Planning and Human resource acquisition in the form of volunteers, alongside serving the bigger purpose of service towards environment and sustainable development. Received the recognition for Intern of the Year for efforts and diligence.
Certifications
Python Data Structures Certification (2020)
Source: University of Michigan(course available on Coursera)
Credentials: View certificate
C#: classes, interfaces and OOPs (2020)
Source: Udemy
Credentials: UC-78d92cdf-115d-46ds-b9f5-bec2f37a0c6e
Infosys Certified Software Programmer (2019)
Source: Infosys Python & SQL certification exam
Python Industry Oriented Training (2018)
Source: Webtek Labs Pvt. Ltd., Delhi