Dinesh Palli
Profile
- 5+ years in data science, analysis and visualization: machine learning, BI, KPI dashboard reporting, digitization and automation, Python, SQL, R; developed and documented open-source data analysis tools with >300 stars on GitHub.
- Proven track record in business environments securing 4 partnerships and contributing to a 7.4% increase in market reach.
- Experienced in Biomedical AI, computational biology, developing visualization tools for datasets with >250k rows.
Skills
Programming Languages
Python, Advanced SQL, R
Cloud Platforms & Services
Microsoft Azure, Azure Function Apps, Azure Front Door, Azure Cosmos DB (NoSQL), Azure CLI, Azure SDK (Python)
Infrastructure as Code & Deployment
Terraform, Kudu, DNS & HTTPS, Custom Domain Configuration
Version Control and Others
Git, GitHub, GitLab (CI/CD), Bit Bucket, Docker, LeetCode, GitHub Actions, Service Principals, Automated Testing (Python & JavaScript), Jest, ESLint
Libraries & Frameworks
PyTorch, Scikit-Learn, NumPy, Pandas, BASH
Machine Learning Techniques
Regression analysis, Clustering, Classification, K-NN, Deep Learning
Models
Vision Transformers, Student-Teacher Models, K-Means Clustering, PCA, Autoencoders
Data Visualization Tools
Matplotlib, Seaborn, Tableau, Google Analytics
Statistics
A/B testing, Ad-hoc analyses, Time series Analysis, Attribution Modelling
Work Experience
Business Intelligence Analyst
Feb 2024 – Feb 2025Olympus Europa EMEA - Hamburg, Germany
- Reduced processing time by 37.48% by digitizing operational processes using Microsoft Power Apps
- Engineered an end-to-end data pipeline in Python including ETL processes, automated regulatory reporting, database management, and internal ERP systems
- Automated KPI dashboards with Power BI, data modeling, and statistical analysis
- Collaborated in the healthcare aggregate spend disclosure process, ensuring compliance with EMEA regulations and GDPR legislation
Machine Learning Engineer
Dec 2022 – Feb 2024Charité – University Medicine - Berlin, Germany
- Engineered a ML model for instance segmentation, implemented L2SP, elastic losses, multiple augmentations, and dataloaders
- Conceptualized a visualization tool for datasets with >1M rows of single-cell data
- Automated code quality checks, enforced coding standards, enhanced codebase stability
- Combined this with MSc Thesis at Helmholtz AI, focusing on optimizing embeddings/clustering accuracy
Biomedical AI Researcher – Master Thesis
Feb 2023 – Aug 2023Helmholtz AI - Munich, Germany
- Effective clustering of high-dimensional data, achieving a 26.31% increase in cluster purity
- Feature extraction and embedding optimization from single-cell images, scDINO model boosting cluster purity 10%
- Developed a pipeline for high-dimensional image data (22k+ images), enabling cluster visualization
Data Science Developer
Nov 2021 – Jul 2022Helmholtz AI - Munich, Germany
- Created 3 functions in Python for an open-source project to ETL >250k data rows, used by 1000+ biotech clients
Informatics and Biotech Researcher
May 2021 – Jun 2022Ludwig-Maximilians-University - Munich, Germany
- Implemented reconstruction of phased haplotypes using Python and R
- Quantified bacteria with RNA, subsequent data analysis using Python
Marketing Analyst
Mar 2019 – Feb 2020Impakter Media - Rome, Italy
- Researched/evaluated start-ups & partners, secured 4 partnerships
- Analyzed and improved GTM strategy for a 7.4% market reach increase
- Optimized company databases and CRM, data acquisition/analysis for promotions
Finance and Technical Analyst
Jun 2017 – May 2018Krishi Vigyan Kendra, Govt. of India - Amravati, India
- Managed finances for small agribusinesses, achieving 8.2% yield increase
- Enhanced operational efficiency by 15%, designing relevant field experiments
- Improved forecast accuracy by 20%, developing financial models with economic indicators
Education
M. Sc Plant Sciences
2024Ludwig-Maximilians-University - Munich, Germany
- Graduated with a grade of 1.6/5 (First Class)
- Thesis in deep learning, computational biology/bioinformatics
- Top 20%iler in a class of 153
- LMU SIST scholarship from DAAD for academic excellence
- Hosted 2022 Welcome Event, managed logistics
- Tutored "Machine Learning in Image Analysis", "Intro to single cell RNA seq"
M. Sc Business Management
2020Rome Business School - Rome, Italy
- Graduated with 27/30 (Distinction)
- CFAI Foundations certification.
B. Sc Agriculture
2018Dr PDKV - Amravati, India
- Graduated with 8.45/10 (First Class)
- Captained Badminton team, runner-ups in inter-university
Languages
English
Native Speaker
German
B1 (Enrolled in super intensive B2 class)
Italian
B2
Hindi
Native Speaker
Telugu
Native speaker
Interests
Stoicism, Working out, Reading, Badminton, Creative writing (1.6 M views on Quora)