sam123529
Oct 26, 2017
Graduate / My interest in Data Science - combine math's, statistics and computer science [4]
I remember how excited I used to get every time I came across Math's and statistics, its applications, playing with numbers, deciphering challenging problems, the tenacity and perseverance it required to solve them and make sense out of numbers and data. Digital data is multiplying by leaps and bounds. With the emergence of Internet Of things it is estimated that the amount of digital data on Internet will multiply 10 fold between 2013-2020. The ability of a data scientist to combine math's and computer science to find valuable insights from this huge amount of data and give back to the world has always fascinated me. Wanting to expand my knowledge in this field I intend to pursue Masters in Data Science. I'm confident that my undergraduate years have given me essential exposure to pursue this challenging course.
I first came across the field of Data Science when I worked on my final year project under Dr. S.K.Pathan. It was a predictive analysis project on Disease Detection in MRS(Magnetic Resonance Spectroscopy) where the objective was to create an interactive application for the doctors to enter MRS data and detect diseases based on past data. Through this project I learnt how python has libraries for Data discovery and knowledge. I learnt how various libraries like Pandas, NumPy, Scikit , matplotlib work which I had subsequently used in modeling and predicting algorithms for the project. We faced various issued like extracting data from MRS images for which we had to learn about image processing and extracting data from MATLAB. Our paper on the same was selected as the best paper in ICINC conference and accepted for publication in the IJCA.
My interest in Data Science was further solidified by the hands on experience I had as an intern at ICICI bank for two months, I learnt how R programming, SQL and Hadoop were integral to the growth of Data analyst, I worked under seniors and contributed in a project for credit fraud and risk evaluation in Loans.
To add to my knowledge I took courses on courser and udemy, of which I specifically like the "Applied data science with python" by the University of Michigan where I learnt to use the Jupyter notebook and.....
I also interned in summer in my sophomore year for (fidelpets) as a web developer intern. During my tenure there, I helped develop multiple product pages for the E Commerce portal. I learned to use HTML, CSS and JAVA. Also, The experience of working in a corporate environment helped me get disciplined, taught me to work within the deadlines and most importantly instilled the ability to work under pressure which for me defines a successful individual.
MS in Cs with Data Science - SOP
I remember how excited I used to get every time I came across Math's and statistics, its applications, playing with numbers, deciphering challenging problems, the tenacity and perseverance it required to solve them and make sense out of numbers and data. Digital data is multiplying by leaps and bounds. With the emergence of Internet Of things it is estimated that the amount of digital data on Internet will multiply 10 fold between 2013-2020. The ability of a data scientist to combine math's and computer science to find valuable insights from this huge amount of data and give back to the world has always fascinated me. Wanting to expand my knowledge in this field I intend to pursue Masters in Data Science. I'm confident that my undergraduate years have given me essential exposure to pursue this challenging course.
I first came across the field of Data Science when I worked on my final year project under Dr. S.K.Pathan. It was a predictive analysis project on Disease Detection in MRS(Magnetic Resonance Spectroscopy) where the objective was to create an interactive application for the doctors to enter MRS data and detect diseases based on past data. Through this project I learnt how python has libraries for Data discovery and knowledge. I learnt how various libraries like Pandas, NumPy, Scikit , matplotlib work which I had subsequently used in modeling and predicting algorithms for the project. We faced various issued like extracting data from MRS images for which we had to learn about image processing and extracting data from MATLAB. Our paper on the same was selected as the best paper in ICINC conference and accepted for publication in the IJCA.
My interest in Data Science was further solidified by the hands on experience I had as an intern at ICICI bank for two months, I learnt how R programming, SQL and Hadoop were integral to the growth of Data analyst, I worked under seniors and contributed in a project for credit fraud and risk evaluation in Loans.
To add to my knowledge I took courses on courser and udemy, of which I specifically like the "Applied data science with python" by the University of Michigan where I learnt to use the Jupyter notebook and.....
I also interned in summer in my sophomore year for (fidelpets) as a web developer intern. During my tenure there, I helped develop multiple product pages for the E Commerce portal. I learned to use HTML, CSS and JAVA. Also, The experience of working in a corporate environment helped me get disciplined, taught me to work within the deadlines and most importantly instilled the ability to work under pressure which for me defines a successful individual.