@@ -203,42 +203,40 @@ <h2>Education</h2>
203203 </ table >
204204 </ section >
205205
206- < section >
206+ < section >
207207 < h2 > Technical Skills</ h2 >
208- < div style ="display: flex; justify-content: space-between; ">
209- <!-- Left side: Technical Skills Table -->
210- < div style ="flex: 1; margin-right: 20px; ">
211- < table style ="width: 100%; border-collapse: collapse; ">
212- < tr >
213- < td style ="vertical-align: top; font-weight: bold; "> Programming Languages:</ td >
214- < td > Python, C++, Lua, HTML, < span class ="math "> \( \LaTeX \)</ span > </ td >
215- </ tr >
216- < tr >
217- < td style ="vertical-align: top; font-weight: bold; "> Libraries & Frameworks:</ td >
218- < td > NumPy, pandas, Matplotlib, PySR, Qiskit</ td >
219- </ tr >
220- < tr >
221- < td style ="vertical-align: top; font-weight: bold; "> Scientific Tools:</ td >
222- < td > CHROMA, MATLAB, Mathematica</ td >
223- </ tr >
224- < tr >
225- < td style ="vertical-align: top; font-weight: bold; "> Modeling & Methods:</ td >
226- < td > Monte Carlo Simulation, Symbolic Regression, Statistical Modeling</ td >
227- </ tr >
228- < tr >
229- < td style ="vertical-align: top; font-weight: bold; "> Tools & Platforms:</ td >
230- < td > Git, GitHub, Docker, JupyterLab, Visual Studio, HPC environments, Linux/Unix Shell (Bash)</ td >
231- </ tr >
232- </ table >
233- </ div >
234208
235- <!-- Right side: GitHub Stats Image -->
236- < div style ="flex: 1; ">
237- < img src ="https://github-readme-stats.vercel.app/api/top-langs/?username=Hariprashad-Ravikumar&layout=compact&langs_count=10&hide=cmake,makefile&theme=github_light " alt ="Top Langs "/>
238- </ div >
209+ <!-- Skills table -->
210+ < div style ="max-width: 700px; ">
211+ < table style ="width: 100%; border-collapse: collapse; ">
212+ < tr >
213+ < td style ="vertical-align: top; font-weight: bold; "> Programming Languages:</ td >
214+ < td > Python, C++, Lua, HTML, < span class ="math "> \( \LaTeX \)</ span > </ td >
215+ </ tr >
216+ < tr >
217+ < td style ="vertical-align: top; font-weight: bold; "> Libraries & Frameworks:</ td >
218+ < td > NumPy, pandas, Matplotlib, PySR, Qiskit</ td >
219+ </ tr >
220+ < tr >
221+ < td style ="vertical-align: top; font-weight: bold; "> Scientific Tools:</ td >
222+ < td > CHROMA, MATLAB, Mathematica</ td >
223+ </ tr >
224+ < tr >
225+ < td style ="vertical-align: top; font-weight: bold; "> Modeling & Methods:</ td >
226+ < td > Monte Carlo Simulation, Symbolic Regression, Statistical Modeling</ td >
227+ </ tr >
228+ < tr >
229+ < td style ="vertical-align: top; font-weight: bold; "> Tools & Platforms:</ td >
230+ < td > Git, GitHub, Docker, JupyterLab, Visual Studio, HPC environments, Linux/Unix Shell (Bash)</ td >
231+ </ tr >
232+ </ table >
233+
234+ <!-- Caption only (no stats image) -->
235+ < h3 style ="margin-top: 1.2em; "> GitHub Stats</ h3 >
239236 </ div >
240237</ section >
241238
239+
242240 < section >
243241 < h2 > Certifications</ h2 >
244242 < ul >
@@ -249,6 +247,13 @@ <h2>Certifications</h2>
249247 < br >
250248 Credential ID: < a href ="https://www.coursera.org/account/accomplishments/professional-cert/certificate/U0HU8UKT89L4 " target ="_blank "> U0HU8UKT89L4</ a >
251249 </ li >
250+ < li >
251+ < strong > Intro to Machine Learning</ strong > (Issued: May 2025)
252+ < br >
253+ Kaggle
254+ < br >
255+ < a href ="https://www.kaggle.com/learn/certification/hariprashadravikumar/intro-to-machine-learning4 " target ="_blank "> View Certificate</ a >
256+ </ li >
252257 < li >
253258 < strong > Getting Started with Accelerated Computing in CUDA C/C++</ strong > (In Progress)
254259 < br >
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