Poker Hand Rankings
Select a hand to reveal
1
Royal Flush
Work Experience
A
K
Q
J
10
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2
Straight Flush
Education
9
8
7
6
5
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3
Four of a Kind
Projects
A
A
A
A
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4
Full House
Certifications
K
K
K
Q
Q
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5
Flush
Skills
A
J
9
6
2
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6
Straight
Leadership
8
7
6
5
4
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7
Three of a Kind
Beyond the Desk
Q
Q
Q
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8
Two Pair
About Me
J
J
9
9
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9
One Pair
Contact
A
A
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10
High Card
Get In Touch
A
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♠ Royal Flush · Rank #1
Work Experience
The rarest hand — the strongest record
Data Analyst
July 2024 – Present
beejAUM Technology Group, Inc · Remote
- Developed quantitative models in Python and SQL to analyze capital flows, market positioning, and sector performance — supporting investment research and strategic decision-making at an institutional level.
- Designed financial dashboards and automated reporting systems to monitor asset performance, risk metrics, and exposure across multiple market segments in real time.
- Integrated live market data APIs into analytical workflows, improving data accuracy and enabling significantly faster research turnaround for senior stakeholders.
- Collaborated with cross-functional teams to translate complex investment questions into structured analytical frameworks and clear, actionable insights.
- Conducted rigorous scenario analysis and stress testing simulations to quantify downside risk under a range of adverse market conditions.
- Prepared polished research summaries, analytical presentations, and executive briefing notes for senior team members and portfolio decision-makers.
- Led ad-hoc research initiatives on sector trends, market dislocations, and structural macro shifts impacting capital allocation strategy.
Research Assistant
Sept 2022 – May 2023
California State University, Long Beach · Long Beach, CA
- Applied advanced NLP techniques (spaCy, TextBlob, transformers) to extract and quantify sentiment from financial filings and market news, boosting trend analysis accuracy by 20%.
- Automated data aggregation and preprocessing pipelines using Python and SQL, cutting data preparation time by 60% and dramatically improving dataset integrity.
- Utilized relational databases to manage and query large financial datasets, enhancing retrieval efficiency across research workflows.
- Presented data-driven research findings using Matplotlib and Seaborn visualizations at internal seminars, earning recognition from faculty supervisors.
♣ Straight Flush · Rank #2
Education
Five suited in sequence — a complete foundation
2025
Business & Financial Modeling
Wharton Business School
Remote
♦
Aug 2021 – Dec 2023
Master of Science, Computer Science
California State University, Long Beach
Long Beach, CA
♠
Jul 2017 – May 2021
B.Tech, Electronics & Computer Engineering
KL University
Guntur, India
♣
♥ Four of a Kind · Rank #3
Projects
Six aces — the work that proves it
Ace of Spades · 2025
Stock Price Movement Prediction via News Sentiment + XGBoost
2025 · Machine Learning · Quantitative Trading
- Built an end-to-end ML pipeline forecasting next-day stock price direction by combining real-time news sentiment with historical OHLCV data
- Extracted polarity scores using TextBlob and engineered sentiment-derived features that consistently outperformed price-only baseline models
- Trained XGBoost with time-series cross-validation, achieving 67.52% test accuracy under simulated live market conditions
- Designed the pipeline to be modular and scalable — clean separation between data ingestion, feature engineering, model training, and evaluation
- Deployed to GitHub with SSH authentication; documented for reproducibility and future extension to additional tickers
♠
King of Clubs · 2024
Full-Stack Application Development for Muay Thai Gym
Mar 2024 – Aug 2024 · Full-Stack · Cloud Infrastructure
- Architected a full-stack gym management platform using React, Node.js, and MySQL — handling class scheduling, membership tracking, and member engagement
- Leveraged AWS RDS for secure, scalable cloud storage with automated backups and high-availability configuration
- Built and maintained CI/CD pipelines via Jenkins enabling zero-downtime deployments across development and production environments
- Integrated AWS SNS for real-time push notifications — improving member communication and reducing no-show rates
- Designed a responsive UI with role-based access control for admins, trainers, and members with distinct permission levels
- Reduced manual admin workload by automating scheduling conflicts, payment reminders, and attendance reporting
♣
Queen of Diamonds · 2023
Small-Cap Stock Evaluation & Investment Strategy Algorithm
Jan 2023 – May 2023 · Quantitative Finance · ML
- Built a systematic stock screening engine combining financial health metrics, valuation ratios, and market momentum using Pandas and Scikit-learn
- Leveraged NumPy to benchmark individual stocks against sector peers — improving analytical decision accuracy by 20% over manual screening methods
- Incorporated fundamental indicators including P/E, debt-to-equity, revenue growth, and free cash flow into a composite scoring model
- Applied clustering algorithms to group stocks by risk/return profile, enabling better portfolio diversification decisions
- Provided a structured, data-driven framework for value investing grounded in quantitative fundamentals and competitive positioning
♦
Jack of Hearts · 2022
Sentiment Analysis on Social Media Data
Aug 2022 – Dec 2022 · NLP · Data Visualization
- Developed an 85%-accurate sentiment classification model using Python and NLTK to analyze large volumes of social media text at scale
- Built a full NLP pipeline covering text preprocessing, tokenization, stop-word removal, stemming, TF-IDF feature engineering, and multi-classifier evaluation
- Designed interactive Tableau dashboards visualizing sentiment trends over time — enabling non-technical stakeholders to extract actionable insights without SQL
- Tested multiple classifiers including Naive Bayes, Logistic Regression, and SVM — selected the best performer based on F1 score across diverse social datasets
- Automated the data ingestion and processing pipeline to handle new batches of social data with minimal manual intervention
♥
Ten of Spades · 2022
Object Detection in Sports Videos
Jan 2022 – May 2022 · Computer Vision · ML
- Built a real-time player detection and tracking system using Python and OpenCV, enhancing detection accuracy by 35% through custom fine-tuning and augmentation
- Applied transfer learning on a pre-trained object detection model, adapting it to sports-specific scenarios with a custom labeled dataset
- Generated spatial heatmaps of player movement across the field — providing coaches with tactical positioning insights previously only available via manual review
- Optimized inference latency for near-real-time performance on standard hardware without requiring GPU clusters
- Designed the output pipeline to export frame-by-frame tracking data to CSV for downstream statistical analysis
♠
Nine of Diamonds · 2021
Expense Optimization & Investment Growth Model
2021 · Financial Planning · Data Analysis
- Built an automated financial planning model to track expenses, optimize savings rates, and forecast investment growth across multiple market scenarios
- Implemented a capital allocation framework illustrating the compounding effect of incremental savings on a 10-year portfolio horizon
- Executed risk-adjusted investment analysis covering wealth preservation strategies — presenting CAGR, ROI, and inflation-adjusted returns via custom Excel and Python dashboards
- Modeled three distinct scenarios (conservative, moderate, aggressive) to give users a clear picture of how savings behavior impacts long-term outcomes
- Incorporated Monte Carlo simulation to stress-test projections against market volatility and sequence-of-returns risk
♦
♦ Full House · Rank #4
Certifications
Three of a kind plus a pair — fully credentialed
☁️
AWS Certified Developer – Associate
Amazon Web Services
📈
Securities Industry Essentials (SIE)
FINRA
💹
Bloomberg Market Concepts
Bloomberg LP
🏦
CFA Level I
Attempted · CFA Institute
❄️
SnowPro Core Certification
Snowflake
📊
Options 101
Akuna Capital
♥ Flush · Rank #5
Skills
Five of the same suit — a complete arsenal
Programming
Python
SQL
Java
R
C++
Data Visualization
Tableau
Power BI
Excel
Matplotlib
Seaborn
Cloud & Databases
AWS
Snowflake
BigQuery
Redshift
PostgreSQL
MySQL
Git
ML & NLP
XGBoost
spaCy
TextBlob
Transformers
NLTK
OpenCV
scikit-learn
Finance
Financial Modeling
Investment Analysis
Risk Assessment
Bloomberg Terminal
Portfolio Management
Scenario Analysis
The Poker Edge
Game Theory
Decision Under Uncertainty
Behavioral Reading
Bankroll Management
Pattern Recognition
Risk / Reward Thinking
♠ Straight · Rank #6
Leadership
Five in sequence — stepping up when it counts
President — Finance & Poker Club
Long Beach, California
- Organized monthly poker tournaments merging competitive gameplay with structured lessons in probability, expected value, and financial decision-making, bridging the felt and the markets.
- Taught members strategic gameplay, bankroll management, hand range analysis, and behavioral reading, skills that directly mirror position sizing, fundamental analysis, and investor psychology.
- Built a campus community at the crossroads of game theory and financial markets, fostering analytical sharpness and interpersonal edge among students pursuing finance careers.
- Recruited and mentored new members, growing club membership and establishing a culture of intellectual curiosity, disciplined thinking, and calculated risk-taking.
♣ Three of a Kind · Rank #7
Beyond the Desk
What drives me outside the spreadsheets
"The edge isn't always in the data. Sometimes it's in how you think."
Poker — I've been playing seriously for years. It's not a hobby to me, it's a thinking system. Pot odds, range construction, tilt control. The same mental muscles you need at a trading desk or in a high-stakes client meeting.
Finance & Markets — I follow macro developments, equity research, and market structure closely. I read earnings calls, track Fed commentary, and spend time understanding how capital actually moves. Not because I have to. Because I genuinely find it interesting.
Building things — Whether it's a side project, a financial model, or a dataset I found interesting, I like the process of turning a rough idea into something that actually works. Most of my best learning has come from breaking things and figuring out why.
New York — Being in this city matters to me. The access to ideas, industries, and people who are operating at a high level every day is something I don't take for granted.
♠ Two Pair · Rank #8
About Me
Consistent, real, driven
"Consistency and effort compound over time. You don't need noise. You need discipline."
I'm Guru Akhil Tavva.
I'm someone who's constantly building. Not loudly. Not to prove a point. Just because that's who I am.
I like growth. I like putting myself in rooms that challenge me and make me better. I learn fast because I'm genuinely curious. I adapt quickly because I don't get attached to comfort. When I see an opportunity, I don't overthink it. I prepare, I show up, and I give it everything.
I've always believed that consistency and effort compound over time. You don't need noise. You need discipline. You need patience. You need the courage to keep going when nothing is guaranteed.
Poker shaped a big part of how I think. It taught me how to stay calm when the pressure rises. How to make decisions without having all the information. How to separate emotion from logic. How to accept losses without losing confidence. And how to recognize the right moment to take a real shot.
That mindset carries into everything I do.
♥ One Pair · Rank #9
Get In Touch
When the hand is right — make your move
Open to data analyst roles, research collaborations, and conversations about markets, models, or a hand of poker.
LocationNew York, New York
StatusOpen to opportunities ✦
♦ High Card · Rank #10
The Number
Sometimes one card is all it takes
The quickest way to reach me.