Priyanka	 Kommuri	 	Hyderabad	 	
6300506894	 	
priyankakommuri182	@gmail.com	 	
 	
Professional	 Summary:	- 	
 	
&bull; 	I  have  1.5  years  of  work  experience  as 	Data  Analyst 	with 	strong  analytical  skills,  statistical	 	
modelling,  predictive  modelling	,  and  Segmentation  Analysis 	to  drive	 high	-impact  business	 	
outcomes through	 data	-driven	 innovations	 and	 decisions.	 	
&bull; 	Experience	 with	 varied	 data	 sources	 such	 as	 semi	 structured,	 unstructured,	 time	 series.	 	
&bull; 	Hands	 on Experience	 in Python	 and	 SQL	. 	
&bull; 	Familiar	 with	 Reporting	 tools	 like	 Power	 Bi. 	
&bull; 	Hands on experience with all phases of Data Analysis 	and Data Science project life cycle	 	
including Exploratory Data Analysis: 	Data Extraction, Data Cleaning, Data Visualization	 	
and	 building	 Models.	 	
&bull; 	Collaborate	 with	 cross	-functional	 teams	 to	 ensure	 data	 accuracy	 and	 completeness	 	
&bull; 	Experience	 with	 using	 libraries	 such	 as	 Matplotlib,	 Seaborn,	 Pandas	, NumPy,	 Plotly	 and	 	
Stats Models.	 	
&bull; 	Hand	 on	 Experience	 in Designing	 the	 Documents	 for 	Clients	 as	 well	 for	 Internal	 Purpose.	 	
&bull; 	Involved	 in Developing	 the	 Machine	 Learning	 Models	 like	 Logistic	 Regression,	 Linear	 	
regression,	 K- Nearest	 Neighbour,	 Naive	 Bayes,	 Support	 Vector	 Machines,	 Decision Trees.	 	
&bull; 	Excellent	 communication	 and	 leadership	 skills.	 	
&bull; 	Played	 a key	 role	 in scaling	 the	 company&#039;s	 operations	 and	 support	 the	 teams	 in making	 	
data	-driven	 decisions.	 	
 	
Education	 : 	
 	
&bull; 	B.tech (ECE) in Malla Reddy College of Engineering For Women 	passed out in 2018	-2022 with an	 	
aggregate	 of 7.3	 CGPA.	 	
 	
Skills	 : 	
  	
&bull; 	C, Python	 	
&bull; 	PostgreSQL,	 Mongo	 DB,	 SQL	 Server	 	
&bull; 	Django,	 Streamlit	 	
&bull; 	Power	 Bi 	
&bull; 	PyCharm,	 Jupyter,VScode	 	
&bull; 	SQL	 	
&bull; 	HTML,	 CSS	 	
&bull; 	NumPy,	 Pandas,	 Matplotlib,	 	
Plotly,	 Seaborn	 	
&bull; 	Basics	 in Machine	 Learning	 	
 	
Professional	 Experience:	 	
Clinztech	 Research	 Solutions	 Private	 Limited,Hyderabad	 	
Associate	 Software	 Engineer	 - May	 2022	 &ndash; April	 2023	 	
 	
Agasthaya 	Edtech	 Private	 Limited,	 Banglore	 	
Python	 Developer	 &ndash; Oct	ober 	2023	 &ndash; March 2024	 	
 
Data Science Intern 	&ndash; Grocareer 	 	
March 2023	&ndash;Current 	&ndash;Hyderabad,Telangana

Project	 1:	 	
Client:	 Education	 Ind	ustry,	 India.	 	
Description: EduTrack is a comprehensive the School Management 	System with	 	
Machine  Learning  Integration  aims  to  provide  a  comprehensive  platform  for	 	
managing	 various	 aspects	 of a school&#039;s	 operations	 while	 leveraging	 machine	 learning	 	
algorithms	 to	 enhance	 decision	-making	 processes.	 The	 system	 includes	 	
functionalities	 	for	 	student	 	management,	 	teacher	 	management,	 	course	 	
management,	 attendance	 tracking,	 performance	 analysis,	 and	 predictive	 analytics.	 	
Tools	 &amp; Technologies:	 Python,	 Django,	 HTML,	 CSS,	 JavaScript,	 Postgresql,	 Manual	 	
testing, Numpy,	 Pandas	 ,Scikit	-learn,	 TensorFlow.	 	
Responsibilities:	 	
&bull; 	Designed and developed user interfaces using HTML, CSS, and	 	
JavaScript. Designed and optimized the database schema using	 	
PostgreSQL.	 	
&bull; 	Implement server	-side logic using Django, including authentication,	 	
data	 models,	 and	 business	 logic.	 	
&bull; 	Integrated	 frontend	 components	 with	 backend	 functionalities.	 	
&bull; 	Develop machine learning models using appropriate algorithms and	 	
libraries to analyze student 	performance, predict outcomes, or	 	
provide	 recommendations.	 	
&bull; 	Communicated progress, challenges, and proposed solutions	 	
effectively	 within	 the	 team.	 	
 	
Project	 2:	 Sentiment	 Analysis	 of	 Restaurant	 Reviews	 	
In this 	project, I conducted sentiment analysis on 	restaurant reviews to gain insights	 	
into	 customer	 satisfaction	 and	 sentiment	 trends.	 The	 goal	 was	 to	 help	 restaurant	 	
owners and managers understand customer 	feedback better and make data	-driven	 	
decisions	 to improve	 their	 dining	 experience.	 	
Tools &amp; Technolo	gies: 	Python, Pandas, NumPy, Plotly, PyCharm, Matplotlib, Naive	 	
Bayes, TensorFlow/Keras,	 Support Vector	 Machines.	 	
Responsibilities:	 	
&bull; 	Collected and pre	-processed a diverse dataset of customer feedback,	 	
ensuring	 data	 quality.	 	
&bull; 	Developed a sentiment analysis 	model with [73%] accuracy to classify	 	
reviews	 as positive,	 negative, or	 neutral.	 	
&bull; 	Train machine learning models such as Support Vector Machines	 	
(SVM), Naive Bayes, or neural networks using libraries like Scikit	-learn	 	
or TensorFlow/Keras.	 	
&bull; 	Developed an 	interactive dashboard for visualizing and exploring	 	
sentiment	 analysis	 results.

&bull; 	Collaborated with a team to ensure successful project execution and	 	
effective	 communication of	 findings.	 	
 	
Project	 3:	 2019	 Key	 Issues	 Study	 Finance	 - The	 Hackett	 Group	 	
Led	 the	 &quot;2019	 Key	 Issues	 Study	 Finance&quot;	 at The	 Hackett	 Group,	 managing	 end	-to	- 	
end  analysis  of  prevalent  challenges  and  priorities  in  Finance  organizations.	 	
Designed 	and  executed  surveys,  utilizing  Python  with  Pandas  for  data  analysis.	 	
Ensured data i	ntegrity and accessibility through robust data management 	practices.	 	
Developed	 visually	 informative	 reports	 and	 dashboards	 in Tableau	 for	 stakeholder	 	
communication.	 Orchestrated	 collaborative	 project	 management	 for	 timely	 	
completion.	 	
Tools	 &amp; Technologies: 	Python,	 Pandas,	 NumPy,	 Seaborn,	 SQL,	 Django,	 Jupyter,	 Matplotlib	 	
Responsibilities:	 	
&bull; 	Responsible for data identification, collection, exploration, cleaning	 	
for modelling.	 	
&bull; 	Created	 Dashboards	 Using	 Django.	 	
&bull; 	Visualize, interpret, report findings, and develop 	strategic uses of data	 	
by	 python	 libraries	 like	 NumPy, Pandas.	 	
&bull; 	Strong	 skills	 in data	 visualization	 like	 Matplotlib.	 	
&bull; 	Participated	 in all	 phases	 of	 data	 mining	 and	 visualization.	 	
&bull; 	Orchestrated the design and execution of surveys, collecting insightful	 	
data	 from	 a diverse	 range	 of	 finance	 professionals.	 	
&bull; 	Implemented robust data management practices, ensuring the	 	
integrity	 and accessibility of survey	 data	 for	 analysis.	 	
&bull; 	Applied Python with Pandas for data analysis, revealing significant	 	
insights	 that	 directly	 informed	 the	 strategic	 objectives	 of	 the	 study.	 	
&bull; 	Developed visually impactful reports and dashboards in Tableau,	 	
facilitating stakeholders&#039; grasp and interpretation of key findings with	 	
ease.	 	
 
Project	 4:	 	
Project  is  about  collecting  and  maintaining  data  rela	ted  to  the  doctors  and	 	
associated	 with	 the	 list	 of	 Hospitals	 requested	 by	 the	 client	 (only	 when	 	
available	 in Doctors	 URL)	 There	 are	 about	 3000	 hospitals	 in the	 current	 scope.	 	
Tools	 &amp; Technologies: 	Python,	 Pandas,	 NumPy,	 Seaborn,	 SQL,	 Jupyter,	 PyCharm	 	
Responsibilities:	 	
&bull; 	Participated	 in all	 phases	 of	 data	 cleaning,	 developing	 models	 to	 	
deliver	 data	 science	 solutions.	 	
&bull; 	Retrieving	 data	 from SQL	 Server	 database	 by	 writing	 SQL	 queries.	 	
&bull; 	Connected Database with Jupyter notebook for modelling and Matplotlib for	 	
visualization	 and	 reporting.