Leadership & Influence QuestionChevening is looking for individuals that will be future leaders or influencers in their home countries. Explain how you meet this requirement, using clear examples of your own leadership and influencing skills to suppor

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Leadership & Influence Question

Chevening is looking for individuals that will be future leaders or influencers in their home countries. Explain how you meet this requirement, using clear examples of your own leadership and influencing skills to support your answer.

(Minimum word count: 100 words, maximum word count: 500 words)

I was born in Kolkata but raised in the northeast with people of a different culture, learn their ways and adapt with them. At a tender age, I was introduced to the elements of leadership. Being the class monitor during my school days, I had to manage student grievances by reporting the class teacher and fulfil class resources like chalk, duster and chart papers from school repositories. I see leadership as something that you earn when you prioritize others interest in place of yours. This belief led me to donate blood in voluntary blood donation camp organised by State Blood Transfusion Council, West Bengal.

My present job in Bank of Maharashtra from 2015 till date, has taught me a lot about working in a group, thus taking care of each other. Being a member of All India Bank Employees Association (AIBEA) I took an active part in fighting for the rights of security guards in our bank, who were governed by a third-party security agency. To protest against their layoffs, we observed strikes even when that led to deduction of our salaries for the respective strike days.

During my enrolment in Arena Animation Shyambazar for learning 2D-3D design in the year 2016 -17, I got an opportunity to represent my centre in Orbit Live 2017, which is an annual animation industry event held in Mumbai where delegates from several countries attended. I competed in the 3D Modeling category with two other students in my team from Mumbai. All the students were grouped in teams of three, as the task required teamwork for completion. We had to divide the task in smaller sections to prioritize how much time we should spend to complete each section. The task needed dexterity with computer graphics software, co-operation amongst members, decision-making for task execution and self-evaluation. Co-operation amongst members phase had its hurdles, but I managed to interact with people of a different ethnicity in the process, thus together we achieved a common goal.

In my college days I presented several papers and had done projects as a part of the curriculum tasks. Often these activities were performed in groups of five or six members. In several such situations I established an understanding with my teammates and eventually led them towards task completion with good results. Following this interest, I authored several papers during 2015-19, which included a paper entitled ‘Gamification: a smart rejoinder to workforce happiness through discretionary effort’. The paper was co-authored by two more fellows, but I got the opportunity to present it amongst specialized audiences in the International HR Conference on HR Trends 2030 organised by Indian Institute of Social Welfare & Business Management. The conference was chaired by several dignitaries from the industry and the academic world. My paper was placed with four other papers under the theme HR Analytics, Artificial Intelligence & Advanced Modeling in HR. During my presentation I justified to my learned audience, the purpose of my paper and its outcome through the conclusion. The chairperson further validated my point and gave valuable feedback.

Becoming a Chevening Alumni is a big dream of many applicants and for that I have all necessary skills, professional experience and the leadership potential. Hence, upon returning home I will speak and write about my Chevening experience to support the program in my country.

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Comments

Transition Words or Phrases used:
but, hence, if, so, third, thus

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 12.0 13.1623246493 91% => OK
Auxiliary verbs: 2.0 7.85571142285 25% => OK
Conjunction : 16.0 10.4138276553 154% => OK
Relative clauses : 9.0 7.30460921844 123% => OK
Pronoun: 53.0 24.0651302605 220% => Less pronouns wanted
Preposition: 86.0 41.998997996 205% => Less preposition wanted.
Nominalization: 22.0 8.3376753507 264% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 2886.0 1615.20841683 179% => OK
No of words: 550.0 315.596192385 174% => Less content wanted.
Chars per words: 5.24727272727 5.12529762239 102% => OK
Fourth root words length: 4.84273464058 4.20363070211 115% => OK
Word Length SD: 3.01965312212 2.80592935109 108% => OK
Unique words: 320.0 176.041082164 182% => OK
Unique words percentage: 0.581818181818 0.561755894193 104% => OK
syllable_count: 880.2 506.74238477 174% => OK
avg_syllables_per_word: 1.6 1.60771543086 100% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 12.0 5.43587174349 221% => Less pronouns wanted as sentence beginning.
Article: 5.0 2.52805611222 198% => OK
Subordination: 1.0 2.10420841683 48% => OK
Conjunction: 2.0 0.809619238477 247% => Less conjunction wanted as sentence beginning.
Preposition: 7.0 4.76152304609 147% => OK

Performance on sentences:
How many sentences: 25.0 16.0721442886 156% => OK
Sentence length: 22.0 20.2975951904 108% => OK
Sentence length SD: 51.1129885646 49.4020404114 103% => OK
Chars per sentence: 115.44 106.682146367 108% => OK
Words per sentence: 22.0 20.7667163134 106% => OK
Discourse Markers: 1.24 7.06120827912 18% => More transition words/phrases wanted.
Paragraphs: 5.0 4.38176352705 114% => OK
Language errors: 0.0 5.01903807615 0% => OK
Sentences with positive sentiment : 13.0 8.67935871743 150% => OK
Sentences with negative sentiment : 1.0 3.9879759519 25% => More negative sentences wanted.
Sentences with neutral sentiment: 11.0 3.4128256513 322% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.063586319656 0.244688304435 26% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0194738350078 0.084324248473 23% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0253927247228 0.0667982634062 38% => Sentences are similar to each other.
Paragraph topic coherence: 0.0445092475427 0.151304729494 29% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0283907852531 0.056905535591 50% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.

Essay readability:
automated_readability_index: 14.3 13.0946893788 109% => OK
flesch_reading_ease: 49.15 50.2224549098 98% => OK
smog_index: 8.8 7.44779559118 118% => OK
flesch_kincaid_grade: 11.9 11.3001002004 105% => OK
coleman_liau_index: 13.17 12.4159519038 106% => OK
dale_chall_readability_score: 9.49 8.58950901804 110% => OK
difficult_words: 166.0 78.4519038076 212% => Less difficult words wanted.
linsear_write_formula: 11.0 9.78957915832 112% => OK
gunning_fog: 10.8 10.1190380762 107% => OK
text_standard: 11.0 10.7795591182 102% => OK
What are above readability scores?

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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.

Rates: 11.2359550562 out of 100
Scores by essay e-grader: 0.67 Out of 6
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.