Anand Deshpande

Werderstrasse 31 · 69120, Heidelberg · (+49) 177-8972414 · ananddeshpande13@gmail.com

I am an inquisitive learner with high analytical skills and a strong background in Mathematics. I have Pursued academic skills in machine learning. I am an experienced researcher with a demonstrated history of working in the field of data science and mathematics. I am already familiar with tools like Python (numpy, scikit-learn, pandas), R, SQL and I am highly motivated to learn new skills to expand my data science toolbox.

Experience

Data Scientist

Data Science Retreat

3-month intensive data science bootcamp with a focus on machine learning.

September 2022 - Present

Research Assistant

Fraunhofer IIS - Future Engineering
  • Retrieved raw data from heterogeneous sources, aggregated it into suitable format by developing ETL processes using NLP tools, viz. Name entity recognition, Keyword extraction, Question Answering etc.
  • Created pipeline for cross correlation analysis and forecasting for time series data which established relation between revenue trends and customers online search activity
  • Created Temporal Knowledge Graph and implemented inference methods for reasoning tasks to understand market trend.
  • Created a pipeline to monitor Hashtags trend analysis from social media platforms using TDIDF, Topic Modelling etc.
  • Created data visualisation using various tools like Mathplotlib, ggplot2, seaborn which helped in decision making.
April 2020 -- May 2022

Student Assitant

Department of Economics, University of Göttingen

Classification, extraction, sorting, categorizing of data for a project based on child education.

April 2019 - November 2019

Mathematics Teaching

Post-Graduate Level: Linear Algebra, Field Theory, Measure Theory, Topology, Algebraic Topology, Analysis on Manifolds
Under-Graduate Level: Number Theory, Computational Geometry
Mathematical Olympiad Trainer

2011 - 2017

Education

George-August-University of Göttingen

Master of Science
Mathematics - Mathematical Data Science

Thesis: Structural Inference for Temporal Knowledge Graphs: a Deep Learning Method and a Stochastic Theory Framework

  • Proposed and studied Markov chain model and recurrent neural network based architecture for TKG extrapolation reasoning problem.
  • Studied recurrent neural network based architecture for TKG reasoning.
  • Created simulations based on the proposed Markov models and compared with real life data.

March 2018 - May 2022

Savitribai Phule Pune University

Master of Philosophy
Mathematics - Differential Geometry, Graph Theory

Thesis: Operators of Dirac type.

November 2014 - March 2018

Savitribai Phule Pune University

Master of Science
Mathematics
June 2008 - April 2011

Fergusson College, University of Pune

Bachelor of Science
Mathematics
June 2005 - April 2008

Skills

Programming Languages & Tools
Team work and organisation management
  • Board member for the Indians association in Göttingen - Nirmiti, affiliated to George-August-University of Göttingen.
    • Treasurer: August 2018 - December 2020
    • President: January 2021 - August 2022
  • Core team member of an Indian folk percussion group, a Dhol-Tasha ensemble `Ramanbaug Yuva Manch' for more than 20 years(since 2001). The group is comprised of more than 400 members in India and Europe.
    • managning a branch in Europe.
    • managing all the social media platforms.
  • Organized a Summer Training Program for Mathematical Olympiad at Bhaskaracharya Pratishthan, Research Institute in Mathematics, Pune, 2014.
  • Organized a ten-day exhibition on mathematics, `Mathematics That You Can Touch' at Fergusson College in collaboration with the Goethe Institute Max Muller Bhavan, Pune and the University of Giessen, Germany, 2013.
Communication
  • Graduate Teaching: Linear Algebra, Topology, Number Theory, Algebraic Topology, Field Theory, Measure Theory, Analysis on Manifolds, Computational Geometry.

Projects

Advanced Statistical Data Analysis with R

  • Kernel density estimation
  • Bootstrap method
  • Creation of random numbers
  • EM algorithm
  • Survival analysis
  • Maximum-penalized-likelihood estimation

    • March 2021 – April 2021

    Anomaly detection in network traffic flow using machine learning methods

    • Deep Neural Network methods: Kitsune, Autoencoders.
    • Unsupervised Machine Leaning Methods: K-means, DBSCAN, Isolation forest.
    May 2019 – July 2019

    Detection of lameness in gestating group-housed sows using machine learning methods

  • Using R-package: raster and clustering algorithms

    • March 2019 – April 2019

    Time Series Forecasting with ARIMA

  • Database containing information collected from the version control system

    • November 2018 – February 2019

    Interests

    Apart from data science, I enjoy most of my time being outdoors. I like to travel and explore new place. I like to interact with people and understand about their culture.

    I am a trained percussionist. I have been training and conducting dhol-tasha ensembles since childhood.

    Honors & Awards

    • Research Fellowship from Deutsche Forschungsgemeinschaft (DFG), at Mathematics Institute, George-August-University of Göttingen
      August 2012 - October 2012