Your Business Goals, Translated into Technical Solutions.
I re-engineer complex business processes for maximum efficiency using automation and data-driven insights.
As a student of both Data Science at GISMA and Software Engineering at 42 Berlin, I bridge the critical gap between strategic ambition and technical reality.
A Dual Perspective for a Complete Solution.
The most expensive mistake in any project is the gap between the business vision and the technical execution. One side knows the 'Why'—the market needs, the strategic goals, the desired outcomes. The other knows the 'How'—the code, the architecture, the technical constraints.
My education at GISMA (Data Science, AI & Digital Busniess) and 42 Berlin (Software Engineering) was a deliberate choice to live in both worlds. I don't just build what's requested; I dissect the business problem to ensure we're building the right thing, the right way.
My 3-Step Process
Dissect the Problem
I map existing workflows, interview stakeholders, and analyze data to find the true bottlenecks, not just the symptoms.
Design the Solution
I architect a new, streamlined process using the right tools—from simple automation to complex data models—with clear documentation.
Deliver the Result
I implement, test, and iterate, ensuring the solution delivers measurable value and is adopted smoothly by the team.
From Process Chaos to Business Clarity.
G-Race: Process Automation & Integration
Problem: Manual, error-prone client onboarding was slow, inconsistent, and causing valuable leads to fall through the cracks.
Solution: As the key "Business-Technology Translator," I engineered an end-to-end automated workflow using Make.com, Zapier, and Airtable to connect their CRM, email, and project management tools seamlessly.
Result: The new system cut manual effort by 37% and fueled a 24% surge in lead conversions by ensuring rapid, consistent follow-up.
Unicorn Companies Analysis
Researched, cleaned, and modeled a complex dataset of 1,000+ global startups to deliver actionable market insights for stakeholders.
Technologies: Python (Pandas, Matplotlib), Jupyter
India AQI Forecast
Built a complete end-to-end application, from data collection and model training to deploying a functional forecasting tool with Streamlit.
Technologies: Python (Scikit-learn, Statsmodels), Streamlit
AI Manager Dashboard
Designed and developed an intuitive dashboard to translate complex performance data into clear, simple visuals for non-technical managers.
Technologies: HTML, CSS, JavaScript (Chart.js)
Diabetes Analysis Project
Applied statistical methods to a healthcare dataset, focusing on rigorous data cleaning, feature analysis, and preparing data for predictive modeling.
Technologies: Python (Pandas, NumPy), Scikit-learn
My Toolkit.
Core Competencies
- ✓ Business Process Analysis
- ✓ Process Automation
- ✓ Data Modeling & ETL
- ✓ Technical Communication
- ✓ Data Quality Assurance
Technologies & Tools
- ✓ Python, SQL, Git
- ✓ Airtable, Excel
- ✓ Zapier, Make.com, n8n
- ✓ Pandas, Scikit-learn
Let's build a better process.
I am actively seeking an internship or Werkstudent position in IT Consulting, Business Analysis, or Data Analytics. If you're looking for someone who can bridge your business and tech teams, I'd love to connect.
rakshitverma415@gmail.com Download My Full Résumé