Available for opportunities in Germany & Europe

Dharmik
Dave

Product Marketing & Analytics

Technical and data-literate Product Marketing candidate with experience in marketing analytics, customer engagement, conversion analysis, KPI reporting, and technical software projects. Skilled at translating complex technical and analytical information into clear stakeholder insights, supported by hands-on experience with cloud technologies, IT incident analysis, and data storytelling. MSc student at the University of Koblenz with strong analytical skills, professional English (C1), and experience working with technical and business stakeholders.

⚡ View Projects ✉ Contact Me ↓ Resume

Reporting Time Reduced

Languages Spoken

Years of Study

Tools Mastered

📍 Germany

About Me

The Story Behind
the Data

I'm Dharmik — a data-driven Product Marketing and Analytics professional with a background in Mechanical Engineering and an MSc in E-Government at the University of Koblenz. My strength lies in combining analytical thinking with customer and market insights to turn complex data into clear, actionable business decisions.

At Metal Cast Engg. Inc., I worked with marketing and business performance data, building Power BI dashboards around KPIs such as CTR, CPC, conversion metrics, and customer engagement. I also optimized Databricks reporting workflows, reducing reporting time by 35% and enabling faster access to reliable insights for stakeholders.

Alongside marketing analytics, I bring a strong technical foundation in SQL, Python, cloud platforms, and applied data science. My academic work includes machine learning, forecasting, and NLP projects, which helps me understand technical products quickly and communicate their value in a clear, business-focused way. I’m particularly interested in roles where product marketing, customer insights, market analysis, and technology intersect. I enjoy identifying patterns, understanding user needs, and translating technical complexity into messaging and insights that support product adoption and strategic decision-making.

🎯
Detail-Oriented Analyst
Every metric tells a story — I find it.

🤝
Team Player & Communicator
Bridging technical and business stakeholders.

🚀
Marketing Analytics
From Mechanical Engineering to ML & Marketing Analystics in under 3 years.

Skills

Tools & Technologies

A versatile stack spanning data engineering, analytics, visualization, and machine learning.

📊

Business Intelligence & Reporting

Power BI90%

Marketing Analytics90%

Buisness Intelligence90%

SQL / PostgreSQL88%

Microsoft Excel85%

KPI Reporting & Dashboarding88%

🐍

Programming & Data Analysis

Python (Pandas, NumPy)85%

Matplotlib / Seaborn80%

Jupyter Notebooks88%

Statistical Analysis80%

Data Cleaning & Preprocessing88%

☁️

Cloud & Data Engineering

Databricks / Spark SQL80%

Azure70%

dbt60%

ETL / Data Pipelines78%

SQL Server75%

🤖

Machine Learning & AI

Scikit-learn75%

NLP / Text Analytics (basic)50%

Git / Version Control82%

Time-Series Forecasting (ARIMA, RF, GB)75%

TensorFlow (basic)35%

💡

Soft Skills

🧩 Problem Solving 🤝 Team Collaboration 📋 Project Management 🚀 Self-Initiative 💬 Stakeholder Communication 🎯 Detail-Oriented 📈 Data Storytelling 🌍 Cross-Cultural Teamwork 🔄 Agile Collaboration

Projects

Featured Work

Data-driven solutions built with Python, SQL, Power BI, and cloud platforms.

📈

SQL Python Power BI NLP

Marketing Analytics Platform

Investigated declining customer engagement and conversion rates despite increased marketing spend, using analytical reporting to identify root causes and support budget reallocation. Applied marketing analytics and performance analysis to translate engagement and conversion data into actionable business insight Built a full analytics workflow — data cleaning in SQL Server, sentiment analysis on customer reviews using Python and NLTK VADER, and an interactive Power BI dashboard presented to stakeholders.

🌍

Python Scikit-learn ARIMA / XGBoost SHAP Power BI Streamlit Docker

CO2 Emissions Analysis

End-to-end forecasting pipeline replicating a 2025 peer-reviewed study on daily CO₂ emissions (Carbon Monitor) across 4 world regions. Engineered lag, rolling, and calendar features and benchmarked ARIMA against Random Forest, Gradient Boosting, and XGBoost on a chronological split — Random Forest reached R² ≈ 0.90, with SHAP for model interpretability. Delivered as a Power BI dashboard and a deployed Streamlit app, containerised with Docker and CI via GitHub Actions.

🔍

Python NLP Scikit-learn

Incident Similarity Detection using NLP

Building an NLP-based system to detect and cluster similar IT incident reports using text embeddings and similarity scoring, aiming to reduce duplicate ticket handling and speed up root-cause analysis.

Experience

Work History

Jan 2021 – Dec 2021

Data Analyst

Metal Cast Engg. Inc. · Ahmedabad, India

Conducted competitive analysis across 6+ monitoring and observability vendors, translating ndings into positioning, sales recommendations, and competitor battlecards.
Synthesized insights from 20+ customer feedback sessions and analysed user journeys, identifying key pain points and friction areas that informed messaging, onboarding, and PLG initiative
Developed and optimized SQL queries to extract, transform, and join data, improving analytics pipelines.Designed Power BI dashboards to monitor business and marketing KPIs including impressions, CTR, CPC, and conversion metrics, supporting campaign reporting and data-driven decision-making.
Enhanced query performance in Databricks (Spark SQL), achieving a 35% reduction in reporting time for enterprise-scale datasets.

🏆 35% faster reporting

Sep 2022 – Present

MSc Student (E-Government)

University of Koblenz · Germany

Applying AI/ML and data engineering concepts to government data systems and public-sector analytics.
Working on cloud-native data pipelines using Azure, Snowflake, and dbt as part of academic research.
Advancing German language skills to B1, integrating into a multicultural European academic environment.

Education

Academic Background

🎓

Sep 2022 – Present

MSc in E-Government (Data Science & AI Focus)

University of Koblenz, Germany

Specializing in digital government services, data engineering, and AI-driven public policy. Coursework covers cloud computing, data governance, NLP, and smart city analytics.

⚙️

Aug 2018 – Jul 2021

Bachelor in Mechanical Engineering

G.H. Patel College of Engineering & Technology, India

Foundation in analytical thinking, engineering systems, and quantitative problem-solving. Transitioned into data analytics, leveraging strong mathematical and systems-thinking background.

Testimonials

What People Say

★★★★★

Dharmik is one of the most detail-oriented analysts I've worked with. His Power BI dashboards transformed how our leadership team accessed KPI data — what used to take days now happens in real time.

Senior Manager

Metal Cast Engg. Inc.

★★★★★

His ability to bridge complex technical solutions with clear business communication is rare. Dharmik delivered the Databricks optimization that cut our reporting time by 35% — ahead of schedule.

Tech Lead

Data Engineering Team

★★★★★

A proactive, independent team player who always comes prepared. Dharmik's analytical skills and multilingual ability made him an outstanding collaborator in our international academic research group.

Professor

University of Koblenz

Contact