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% The MIT License (MIT)
%
% Copyright (c) 2021 Jitin Nair
%
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% THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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% LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
% OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
% THE SOFTWARE.
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% DOCUMENT DEFINITION
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% PACKAGES
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\usepackage{url}
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% job listing environments
\newenvironment{jobshort}[2]
{
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\textbf{#1} & \hfill & #2 \\[3.75pt]
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% BEGIN DOCUMENT
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\begin{document}
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% HEADER / TITLE
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% Current Header Style: Centered Name and Contact Links
\begin{tabularx}{\linewidth}{@{} C @{}}
\fontsize{26pt}{30pt}\selectfont Siddhartha Shakya \\[5pt]
\href{https://siddhushkya.github.io/my-portfolio/}{Portfolio} $|$
\href{https://www.linkedin.com/in/sidShkya/}{LinkedIn} $|$
\href{https://github.com/SiddhuShkya}{GitHub} $|$
\href{mailto:siddhuushakyaa@gmail.com}{siddhuushakyaa@gmail.com} $|$
\href{https://maps.google.com/?q=Dubai,UAE}{Dubai, UAE} $|$
\href{tel:+971551830660}{+971 55 183 0660}
\end{tabularx}
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% PROFILE SUMMARY
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\section{Profile Summary}
\vspace{5pt}
Quick learner and highly efficient \textbf{Computer Science graduate} currently pursuing
\textbf{PG Diploma in Data Science} (evening batch) at MAHE Dubai. Proficient in \textbf{Python},
\textbf{SQL}, and \textbf{Excel} with hands-on experience in data science projects revolving around
data \textbf{analytics}, \textbf{engineering} and \textbf{AI/ML}. Proven ability to deliver data-driven solutions that create
measurable business impact. Valid UAE work authorization on \textbf{student visa}.
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% SKILLS
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\section{Technical Skills}
\vspace{5pt}
\begin{tabularx}{\linewidth}{@{}l X@{}}
\textbf{Languages} & Python, SQL/NoSQL, C/C++ \\
\textbf{Databases} & PostgreSQL, MySQL, MongoDB, SQLite \\
\textbf{Data Analytics} & Pandas, Matplotlib, Seaborn, Streamlit, Excel \\
\textbf{Data Engineering} & Databricks, Apache Airflow, Snowflake, dbt, PySpark \\
\textbf{AI \& ML} & PyTorch, Scikit-learn, NumPy, Jupyter Notebooks, Google Colab \\
\textbf{DevOps \& Tools} & Docker, Git/GitHub, GitHub Actions (CI/CD), REST APIs, Linux, MLflow \\
\end{tabularx}
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% WORK EXPERIENCE
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\section{Work Experience}
\vspace{5pt}
% Job 1: Backend AI Engineer
\begin{joblong}{Backend AI Engineer (Remote) $|$ \normalfont\textit{FlyRank AI}}{\textbf{Jun 2026} -- \textit{Present}}
\item Built \textbf{5+} backend services using Node.js/Express, delivering RESTful APIs with validation, error handling, and structured documentation.
\item Developed \textbf{3+} database-driven applications with Supabase Auth, SQLite/PostgreSQL, and Docker Compose, improving deployment consistency and enabling secure, persistent backend workflows.
\end{joblong}
\vspace{1pt}
% Job 2: AI Intern
\begin{joblong}{AI Intern $|$ \normalfont\textit{Mach24 Orbitals}}{\textbf{Oct 2025 -- Feb 2026}}
\item Designed and implemented an automated geospatial data extraction system leveraging GEE (Google Earth Engine) API to retrieve \textbf{1,000+} satellite imagery datasets monthly across custom AOIs and timeframes, eliminating manual download processes and reducing data acquisition time by \textbf{75\%}.
\item Owned end-to-end data pipeline responsibility: processed \textbf{1,000+} monthly datasets through automated ingestion, quality assurance, and normalization, achieving \textbf{83\%} data accuracy and reducing manual preprocessing time by \textbf{60\%}.
\end{joblong}
\vspace{1pt}
% Job 3: Teaching Assistant
\begin{joblong}{Graduate Teaching Assistant $|$ \normalfont\textit{Herald College Kathmandu}}{\textbf{Aug 2024 -- Sep 2025}}
\item Developed comprehensive Big Data curriculum covering Hadoop ecosystem, SQL and MongoDB databases, Python, and PySpark; delivered hands-on labs and practical assignments to \textbf{120+} students, achieving \textbf{15\%} improvement in assessment scores.
\item Architected and delivered High Performance Computing (HPC) workshops on parallel programming, C/C++, and CUDA GPU computing; built a password-cracking lab showcasing \textbf{6x speedup} via multithreading and \textbf{40x speedup} via CUDA over a single-core baseline.
\end{joblong}
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% PROJECTS
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\section{Projects}
\vspace{5pt}
% Project 1: EduFin
\begin{joblong}{EduFin Investigation $|$ \normalfont{\textit{Financial Data Analytics}}} {\textbf{2026}}
\item Built and optimized data pipelines in Databricks using PySpark and SQL to ingest and analyze a 15,000+ student loan portfolio, uncovering a Rs.\ 12 Crore financial discrepancy.
\item Identified critical risk patterns through segmentation analysis, isolating high-risk regions, customer profiles, and partner institutions to inform data-driven risk mitigation strategies.
\item \textbf{Tech Stack:} Python, Databricks, PySpark SQL, Delta Tables, Data Pipelines
\end{joblong}
% Project 2: NYC Parking Violations
\begin{joblong}{NYC Parking Violations $|$ \normalfont{\textit{Data Engineering}}} {\textbf{2025}}
\item Built a multi-layer Medallion Architecture (Bronze/Silver/Gold) ELT pipeline transforming raw NYC parking violation data from NYC Open Data into analytics-ready metric tables.
\item Automated production deployments using GitHub Actions with separate dev/prod DuckDB profiles.
\item \textbf{Tech Stack:} dbt Core, DuckDB, SQL, Python, Jupyter Notebook, GitHub Actions, YAML
\end{joblong}
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% EDUCATION
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\section{Education}
\vspace{5pt}
\begin{tabularx}{\linewidth}{@{}X r@{}}
\textbf{PG Diploma in Data Science} $|$ \normalfont\textit{MAHE Dubai} & \textbf{Feb 2026} -- \textit{present} \\
\end{tabularx}
\begin{tabularx}{\linewidth}{@{}X r@{}}
\textbf{BSc (Hons) in Computer Science} $|$ \normalfont\textit{University of Wolverhampton} & \textbf{Feb 2022 -- Jun 2024} \\
\textit{Honors: \textbf{First Class}} & \\
\end{tabularx}
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% CERTIFICATIONS
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\section{Certifications}
\vspace{5pt}
\begin{tabularx}{\linewidth}{@{}p{0.45\linewidth} >{\raggedright\arraybackslash}X r@{}}
\textbf{AI Fluency: Framework \& Foundations} & Anthropic & \textbf{2026} \\
\textbf{MLOps Bootcamp} & Udemy & \textbf{2025} \\
\textbf{SQL Bootcamp} & Udemy & \textbf{2025}
\end{tabularx}
\vfill
\begin{center}
\footnotesize Last updated: \today
\end{center}
\end{document}
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