Post Job Free
Sign in

RStudio, C++, Python, Tableau, Power BI, MetaTrader5, Zoho, Microsoft

Location:
Frisco, TX, 75035
Salary:
25
Posted:
December 27, 2024

Contact this candidate

Resume:

SAKSHAM SHORI

********@******.*** • 972-***-****• https://www.linkedin.com/in/sakshamshori/

EDUCATION

The University of Texas at Austin

Bachelor of Science, Statistics + Data Science

Bachelor of Science, Economics

Honors Program: Polymath Scholars

May 2026

PROFESSIONAL EXPERIENCE

Driving Forward – Consulting Intern; Remote Dec. 2024 – Present

• Leading end-to-end data analysis & predictive modeling through Tableau/Power BI for companies in healthcare, tech, and finance

• Integrating data visualization (Tableau) for financial analysis and identification of key metrics for company evaluation, tailored business strategy, and growth points

FlySky9 – Finance & Marketing Intern; Dallas, TX Jun. 2024 – Aug. 2024

• Built a real-time dashboard with 20+ dynamic KPI’s to assess important financial metrics using Zoho Analytics and Zoho Books

• Automated accounting categorization system to minimize manual organization and increase efficiency and processing by 15%

• Implemented SEO digital marketing (Search Engine Optimization) to increase web traffic, insights, and impressions by 35% UNT Student Investment Group – Junior Quantitative Analyst; Denton, TX Sep. 2023 – Mar. 2024

• Spearheaded quantitative analysis to implement 2 predictive trading algorithms in organization $600K AUM fund; utilizing MetaTrader5, VectorBT vectorization, and Python for fluctuating market conditions and optimizing trading strategies

• Guided algorithmic strategy through entry/exit point identification and macroeconomic data analysis (GDP, export/import differentials) for the top 20 traded FOREX currency pairs

• Yielded an 8% ($14K) profit gain in FOREX-focused trading strategies by identifying of the AUDNZD currency pair with 87%-win rate. CloudDefense.AI – Machine Learning Intern; Remote Nov. 2022 – Feb. 2023

• Created 4 BERT-based predictive machine learning models implemented within the live detection platform to mitigate cloud/IP network vulnerabilities for 15+ clients

• Built a Tableau dashboard to analyze 500+ security alerts and provide real-time updates on key malicious indicators

• Improved company’s DDoS (Distributed Denial-of-Service) threat detection by 27% with a model precision and accuracy of 97% PROJECTS

NIDS, A Network Intrusion Detection System for DDoS Attacks– Lead Researcher; Remote June 2022 – June 2024

• Created a novel Network Intrusion Detection System & comprehensive dataset using Kitsune to adapt to evolving DDoS attacks

• Implemented multi-class anomaly detection and clustering methods (K-Means) using Machine/Deep Learning & Convolutional Neural networks, achieving a 94% precision rate

• Led a team of 4 high school/college researchers to achieve 1st place by the US Air Force and 3rd at TJAS state science competition HONORS, AWARDS, and PROGRAMS

• Goldman Sachs Possibilities Summit Dec. 2024

• Julian C. Stanley Mathematics Award ($1,250) Oct. 2023

• Tom Weiner Academic and Leadership Award ($1,000) Oct. 2022

• 1st Place Air Force Award – Awarded for science fair project in cybersecurity Feb. 2023 ADDITIONAL INFORMATION

Technical Skills: RStudio, C++, Python, Tableau, Power BI, MetaTrader5, Zoho, Microsoft Office (Excel, PowerPoint, Word) Extracurricular Activities: University Securities Investment Team (USIT), UT American Stats Association, Freshman Research Initiative

(FRI), UT Saaya, Intramural Sports

Work Eligibility: Eligible to work in the U.S. with no restrictions



Contact this candidate