def train_model(X, y):

lstm = LSTM(units=128)

model.compile(optimizer='adam')

plt.plot(df['close'])

accuracy = 0.92

return np.argmax(y_pred)

class NeuralNet(nn.Module):

X_train, X_test = train_test_split()

λTransforming Finance with AI|

Hi, I'm Anjana Urulugastenna

I am a dedicated quantitative research analyst with a passion for AI/ML and financial technology. My expertise spans data analysis, statistical modeling, machine learning, and backend development. I am proficient in Python, R, SQL, and .NET Framework, and have a strong foundation in statistical methods and machine learning algorithms. I am skilled in leveraging AI and ML to uncover valuable insights, optimize processes, and make data-driven decisions. My experience in financial backend development enables me to build robust and scalable solutions. I am committed to staying at the forefront of technological advancements and continuously expanding my skillset.🚀

Fintech

Trading

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import tensorflow as tf

const app = express()

SELECT * FROM metrics

model.fit(X_train, y_train)

kubectl apply -f deploy.yaml

import torch.nn as nn

Empowering Innovation with Modern Tools

Leveraging AI, Machine Learning, and Advanced Development Frameworks🚀

Programming

Framework

Database

Analytics

Frontend

Backend

Big Data

Cloud

NLP

Visualization

DevOps

Data Science

Machine Learning

Forecasting

Streaming

API

PythonProgramming

.NETFramework

MySQLDatabase

TableauAnalytics

OpenAIAI

TensorFlowAI

PyTorchAI

UbuntuOS

ReactFrontend

Node.jsBackend

Apache SparkBig Data

Google Cloud AICloud

Hugging FaceNLP

D3.jsVisualization

DockerDevOps

KubernetesDevOps

SnowflakeDatabase

MongoDBDatabase

NumPyData Science

PandasData Science

Scikit-learnMachine Learning

NeuralProphetForecasting

KafkaStreaming

Fast APIAPI

DeepSeekAI

Download My Resume

Expertise & Services

Leveraging cutting-edge technology to deliver comprehensive financial solutions💡

📊

Quantitative Research & Financial Analytics

Advanced statistical analysis and financial modeling for data-driven insights

Analytics

🤖

AI/ML Solutions for Finance & Management

Cutting-edge machine learning applications for financial forecasting and management

AI/ML

📈

Data-Driven Decision Making & Strategy

Strategic insights powered by comprehensive data analysis

Strategy

🔍

Custom Data Extraction & Financial Intelligence

Automated data collection and analysis for financial insights

Data

💻

Web Development for Finance Solutions

Custom web applications tailored for financial services

Development

👨‍🏫

Professional Training & Consultancy

Expert guidance and knowledge transfer in financial technology

Training

Explore Further

Published Articles

Writings and insights on technology and development✍️

Medium

January 2025

Unlocking Insights: The Power of Named Entity Recognition (NER) in Web Analytics

Explore how Named Entity Recognition (NER) transforms unstructured text into actionable insights, improving analytics, enhancing user experiences, and enabling data-driven decision-making in web analytics.

Natural Language ProcessingWeb AnalyticsTechnologyData Science

Medium

February 2025

Building a RAG Pipeline for YouTube Videos: Automating Content Summarization and Q&A

Discover how Retrieval-Augmented Generation (RAG) enhances YouTube video analysis by automating content summarization and question-answering, enabling efficient information extraction and improved user engagement.

AIMachine LearningNatural Language ProcessingYouTube AnalyticsRAG

E = mc²

∑F = 0

∫f(x)dx

P(A|B)

f'(x)

∇ × F

λ = h/p

σ²

Education

Academic foundations and continuous learning🎓

MSc in Business Analytics

Robert Gordon University

2024 - *

Specialization AI and Data Science.

Key Focus Areas

BSc in Finance (SP)

University of Sri Jayewardenepura

2017 - 2022

Graduated with First Class.

Key Focus Areas

Continuous Learning

Work Experience

Professional journey and key achievements inAI, ML & Fintech

2023 - Present

Quantitative Analyst

LYNEAR Wealth Management (PVT) Ltd

Leveraging my expertise in C#, ASP.NET Core, MySQL, and Python, I have successfully developed and deployed robust web applications and machine learning models. I am proficient in data analysis, machine learning, and API development, enabling me to extract valuable insights from data and build predictive models. My strong problem-solving skills and collaborative approach allow me to work effectively with teams to deliver innovative solutions.

.NET FrameworkMySQLReact.jsPythonOffice 365

2022 - 2023

Research Analyst

BITROCK (PVT) Ltd (Subsidiary of Lyceum Global Holdings)

Conduct daily analysis of the cryptocurrency and US stock markets, generating comprehensive reports. Perform in-depth fundamental analysis of cryptocurrencies, identifying potential investment opportunities and risks. Analyze macroeconomic factors that influence both the US stock market and the cryptocurrency market. Undertake applied research projects as per management directives.

2021 - 2022

Trainee Data Analyst

LAUGFS Supermarkets (PVT) Ltd

As a Data Analyst at Laugfs Supermarkets (PVT) Ltd., I play a crucial role in driving data-driven decision-making. My responsibilities encompass analyzing key performance indicators such as sales, wastage, and variance, as well as preparing comprehensive financial reports. I am also responsible for developing and maintaining databases, creating insightful presentations, and building robust Excel tools to track operational metrics and identify areas for improvement. By leveraging data analytics, I empower the management team to make informed decisions and optimize business performance.

2020 - 2021