Nittala Venkata Sai Aditya

I'm a

About

I am a passionate coder and finder of data insights. Hard work is my best virtue and I aim to be the best in whatever I do. I look for projects which force me to think on my feet and learn new things. I am always looking for data to recognise business opportunities in unexplored areas.

During my 3 years at Goldman Sachs, I worked as an Associate Software Engineer (Machine Learning) in the Payments Technology team of the firm and collaborated with cross functional teams in analysing external charging patterns and optimizing our payments timeline while ensuring scalability of the solutions. I have experience in Python, Java, Apache Spark and predictive modelling.

I have an undergraduate degree in Computer Science from Vellore Institue of Technology, India and I am currently pursuing a Master's Degree in Business Analytics at UT Austin in order to learn advanced statistical and machine learning techniques to further infuence business decisions.



I am actively looking for Data Scientist, Machine Learning Engineer and Data Engineering Roles. Feel free to contact me if my profile fits any role that you are looking for. Thanks in advance!!

Resume

You can view and download my resume from the below link.



Resume

Projects Portfolio

Please find below some of the projects that I have worked on in my data analytics journey. Feel free to reach out and provide any feedback.

  • All
  • Machine Learning
  • Natural Language Processing
  • Medium Articles


HeartBeat Audio Classification

ML 1



Donald Trump Presidential Campaign Comparison

NLP1



Smoker Prediction using Body Signals

ML 2



Pruning Decision Trees in Python

ML 1



Beer Recommendation System

NLP 2



Portfolio Modeling using Bootstrap Resampling

ML 3



Text Analysis of Luxury Sedans

NLP 3

Technical Skills

Python, Java

Industry experience in using Python and Java. Proficient in debugging and testing code in Junit and Pytest.

Machine Learning

Well versed with Supervised and Unsupervised Learning Techniques and various machine learning libraries like scikit-learn, Librosa and numpy

Natural Language Processing

Undertook projects dealing with text and sentiment analysis using NLP packages like spacy and NLTK

Data Warehousing

Industry experience in creating Data Warehouses and Data Lake ETL pipelines leveraging both Cloud and Spark technologies. Proficient in RDBMS languages like MySql and Oracle

Dashboards

Presented analysis to stakeholders using dashboards in Tableau and familiar with statistical visualisation tools like Matplotlib and Seaborn

A/B Testing

Familiar with use of A/B testing and understanding various metrics to evaluate business decisions

Recommendations

Meena Saraswathy

Vice President & Tech Fellow, Goldman Sachs

I have seen Aditya grow professionally from a novice to a subject matter expert in the three years he worked in my team. He was perseverant and committed to delivering the assigned projects. He was keen to learn on the job and broaden his horizons. He had always been curious to understand the bigger picture and the business function behind the product he was building. The functional knowledge he thus developed helped him understand the data better and improve his expertise. Aditya developed a good rapport with anybody he worked with and had been a great team player. His calm demeanour belies the intensity with which he can work!

Satyaki Bose

Vice President, Goldman Sachs

Aditya worked as an intern at Goldman Sachs and then as an employee . During his internship time, he was a member of my project team, and I was his direct senior. Aditya strived to learn the functional aspect of the application we develop; This helped him bridge the gap between a developer/programmer and a business analyst. He is mature beyond his years and displayed innovative thinking as an intern and an analyst. He is quick at the uptake and has demonstrated the ability to absorb large volumes of information. I was highly impressed with Aditya's attitude and efficiency. He is bright and highly professional. I believe he will display a high degree of commitment in both his educational and professional career. I can recall more than one occasion where he was given a brief summary of specific requirements and deadline and he has gone a step ahead and researched and delivered more optimal solutions to the problems. He has spent his time on carefully understanding the functional nuances of the deliverables and added his valuable inputs and suggestions.

Contact

Call:

+1 346-464-1043