Overview
Work History
Education
Skills
Accomplishments
Timeline
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Saisesh Iyer

College Park,United

Overview

2
2
years of professional experience

Work History

Tech Analyst

Jefferies
06.2023 - 08.2023
  • Created a rule-based model using regex to grab useful entities from banker call reports.
  • Fine-tuned, rained, tested, and validated a NER (Named Entity Recognition) machine learning model on the words grabbed by the rule-based model.
  • Collaborated with other interns on masking sensitive data present in banker call reports.
  • Gained an understanding of investment banking concepts and the interactions between clients and bankers

Junior Quant Analyst

Apex Fund
02.2022 - 02.2023
  • Scrapped news articles using BeautifulSoup from marketwatch.com and applied positivity/negativity weights to the words in a financial context.
  • Produced a positivity/negativity score by running the articles over FinBERT in order to calculate the sentiment score for a particular stock based on the scrapped articles.
  • Presented the final results for our fundamental analysts in the form of multiple plots generated using matplotlib.

Fundamental Analyst Intern

Negen Capital
06.2022 - 08.2022
  • Attended and summarized company earnings calls
  • Assisted portfolio managers with portfolio construction and monitoring
  • Collaborated in partnership with a team to perform equity research and analysis of companies in the banking and tech sector

Machine Learning Summer intern

TEKsystems
06.2021 - 08.2021


  • Compiled a dataset using Twitter API by looking for certain keywords based on the project requirements.
  • Implemented various Machine and Deep Learning models such as SVM, Naive Bayes, and Random Forest to perform textual sentiment analysis.
  • Analyzed datasets of consumers using Python libraries such as pandas, NumPy, Scikit-learn, and tensor flow.
  • Linked the datasets from Python to SQL databases in order to manipulate the data as required.
  • Worked in an AGILE workspace environment.

Education

Bachelor of Science - Computer Science

University of Maryland
College Park
12.2023

Skills

  • Python
  • SQL
  • HTML/CSS/JavaScript
  • Object Oriented Programming
  • Microsoft Office
  • Data Analytics
  • Power BI

Accomplishments

    Move Recommendation System

  • Built a movie recommendation system using cosine similarity and collaborative filtering
  • Code takes users favorite movies and ratings for them as input and outputs recommendations that the user might like


    • Modern Portfolio Theory Efficient Frontier

  • Levered Modern Portfolio Theory to figure out how one can manage allocation of fundamental portfolio to better adjust to volatility
  • Incorporated sharpie ratios as the base of this project
  • Produced a final deliverable that outputs the efficient frontier charts for the stocks in a portfolio.

Timeline

Tech Analyst

Jefferies
06.2023 - 08.2023

Fundamental Analyst Intern

Negen Capital
06.2022 - 08.2022

Junior Quant Analyst

Apex Fund
02.2022 - 02.2023

Machine Learning Summer intern

TEKsystems
06.2021 - 08.2021

Bachelor of Science - Computer Science

University of Maryland

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Saisesh Iyer