With over 4 years of immersive industrial experience in the field of data science & machine learning, accompanied by a master's degree in artificial Intelligence and data Science. Proficient in creating production level data science softwares, statistical analysis, research and hypothesis testing, time series analysis, deep learning & machine learning. Demonstrated success in leading impactful projects and providing effective mentorship.
0 + Projects completed
I am a Full stack Data scientist with over 4 years of immersive industrial experience. From taking an idea from the proof of concept until production, with holistic collaboration followed by utmost dedication and unwavering commitment to deliver the best product possible under the given resources and time, I find joy in delivering satisfaction..
Thesis title - A comparison of time series models for revenue and product demand forecasting in smart fridges. / Ein Vergleich von Zeitreihenmodellen für Umsatz- und Produktnachfrageprognosen bei intelligenten Kühlschränken.
The digitalisation unit of the Krones group, implementing state-of-the-art digital filling and packaging line.
SCHMP, Department of Food, Civil Supplies and Consumer Protection (Run by AS Foundation).
Grade: First class distinction.
Grade: 1.8
Below are some of the projects that I have worked on.
A highly responsive movie database and content based recommender system using cosine similarity.
Dataset Used = Movielens ratings(25 million rows).
Since you have made it this far, I'd love to hear your views on some of the blogs that I've written.
Understanding the core intuition behind time series analysis.
Understanding benchmarks for creating a robust machine learning system.
Post deployment model decay? No problem...
Cause a model will only behave under supervision.
Understanding the intuition behind reinforcement learning, policy and value functions and reward
Here are some of the certifications that I collected along my Data Science Journey.
Issuer - Udemy
ETS, Time Series Modelling - Statistical (ARIMA,SARIMAX), Deep Learning (ANN,CNN,RNNs,LSTMs,NBeats,NHits,PSTPatch), Vector models, GARCH, FB Prophet, Holt-Winters, Tensorflow2, AWS Forecast
Issuer - Google
Generative AI Studio, Image captioning models, transformer based and BERT, Attention mechanism, Encoder-Decoder architecture, Image generation, Large Language Models(LLMs), Responsible AI
Issuer - Duke University
Set Theory, Functions and Graphs, Derivatives, Optimization (non-constrained, contrained - Lagrange's multiplier, Linear Programming), Probability
Issuer - Udemy
Continuous Integration and Continuous Delivery (CI/CD) · DevOps · MLOps · Gitlab · Docker · Unit Testing
Issuer - UpGrad
Types of hypothesis, types of test for the hypothesis, decision-making criteria for hypothesis, critical value and p-value method for testing
Below are the details to reach out to me!
Wuppertal, Germany